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CourseClub Me Udacity Data Analyst Nanodegree

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[CourseClub.Me] Udacity - Data Analyst Nanodegree

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10.5 GB

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12315

Last Seen

2024-11-14 23:48

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/Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/

01. Looking Ahead.html

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01. Welcome To DAND Term 1-Q1GEXzXXLN0.ar.vtt

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01. Welcome To DAND Term 1-Q1GEXzXXLN0.en.vtt

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01. Welcome To DAND Term 1-Q1GEXzXXLN0.mp4

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01. Welcome To DAND Term 1-Q1GEXzXXLN0.pt-BR.vtt

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01. Welcome To DAND Term 1-Q1GEXzXXLN0.zh-CN.vtt

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02. Projects Term 1 V2-1e1y6QB34YM.ar.vtt

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02. Projects Term 1 V2-1e1y6QB34YM.en.vtt

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02. Projects Term 1 V2-1e1y6QB34YM.mp4

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02. Projects Term 1 V2-1e1y6QB34YM.pt-BR.vtt

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02. Projects Term 1 V2-1e1y6QB34YM.zh-CN.vtt

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02. Projects.html

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03. Meet the Team.html

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04. Program Structure and Schedule.html

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05. Introduction-fxNSn63xFvA.ar.vtt

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05. Introduction-fxNSn63xFvA.en.vtt

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05. Introduction-fxNSn63xFvA.mp4

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05. Introduction-fxNSn63xFvA.pt-BR.vtt

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05. Introduction-fxNSn63xFvA.zh-CN.vtt

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05. Orientation Introduction.html

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06. Projects and Progress-Z9ZLMQWsbsk.ar.vtt

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06. Projects and Progress-Z9ZLMQWsbsk.en.vtt

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06. Projects and Progress-Z9ZLMQWsbsk.mp4

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06. Projects and Progress-Z9ZLMQWsbsk.pt-BR.vtt

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06. Projects and Progress-Z9ZLMQWsbsk.zh-CN.vtt

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06. Projects and Progress.html

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07. Integrity and Mindset-zCOr3O50gQM.ar.vtt

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07. Integrity and Mindset-zCOr3O50gQM.en.vtt

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07. Integrity and Mindset-zCOr3O50gQM.mp4

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07. Integrity and Mindset-zCOr3O50gQM.pt-BR.vtt

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07. Integrity and Mindset-zCOr3O50gQM.zh-CN.vtt

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07. Integrity and Mindset.html

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08. How Does Project Submission Work-jCJa_VP6qgg.ar.vtt

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08. How Does Project Submission Work-jCJa_VP6qgg.en.vtt

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08. How Does Project Submission Work-jCJa_VP6qgg.mp4

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08. How Does Project Submission Work-jCJa_VP6qgg.pt-BR.vtt

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08. How Does Project Submission Work-jCJa_VP6qgg.zh-CN.vtt

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08. How Does Project Submission Work.html

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09. Getting Help.html

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10. How Do I Find Time for My Nanodegree.html

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10. Time Commitment-d-VfUw7wNEQ.ar.vtt

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10. Time Commitment-d-VfUw7wNEQ.en-US.vtt

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10. Time Commitment-d-VfUw7wNEQ.en.vtt

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10. Time Commitment-d-VfUw7wNEQ.mp4

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10. Time Commitment-d-VfUw7wNEQ.pt-BR.vtt

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10. Time Commitment-d-VfUw7wNEQ.zh-CN.vtt

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11. Study Habits of Successful Graduates.html

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12. Meet the Careers Team-cuKecPpZ7PM.en.vtt

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12. Meet the Careers Team-cuKecPpZ7PM.mp4

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12. Meet the Careers Team-cuKecPpZ7PM.pt-BR.vtt

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12. Meet the Careers Team.html

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13. Access Your Career Portal.html

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14. Your Udacity Professional Profile.html

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index.html

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/img/

get-hired-with-the-udacity-career-portal.gif

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screen-shot-2017-10-27-at-1.49.58-pm.png

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screen-shot-2018-07-27-at-1.24.38-pm.png

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screen-shot-2018-08-15-at-9.45.12-am.png

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screen-shot-2018-08-15-at-9.46.40-am.png

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udacitylogo-copy.png

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wave.gif

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/Part 01-Module 01-Lesson 02_The Life of a Data Analyst/

01. CEO, Sparta Science.html

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01. Sparta Science-MkjoaUmdOXc.en.vtt

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01. Sparta Science-MkjoaUmdOXc.mp4

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01. Sparta Science-MkjoaUmdOXc.pt-BR.vtt

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02. Data Scientist at Hired.html

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02. Interview with a Data Scientist-kNnFA5hxI2Q.ar.vtt

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02. Interview with a Data Scientist-kNnFA5hxI2Q.en.vtt

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02. Interview with a Data Scientist-kNnFA5hxI2Q.mp4

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02. Interview with a Data Scientist-kNnFA5hxI2Q.pt-BR.vtt

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02. Interview with a Data Scientist-kNnFA5hxI2Q.zh-CN.vtt

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03. Industry Interview Sinthuja-R5XBQ7dSz7w.ar.vtt

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03. Industry Interview Sinthuja-R5XBQ7dSz7w.en.vtt

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03. Industry Interview Sinthuja-R5XBQ7dSz7w.mp4

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03. Industry Interview Sinthuja-R5XBQ7dSz7w.pt-BR.vtt

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03. Industry Interview Sinthuja-R5XBQ7dSz7w.zh-CN.vtt

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03. Sinthuja Nagalingam at Summit Schools.html

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04. Data Scientist at Facebook.html

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04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.ar.vtt

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04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.en.vtt

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04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.ja.vtt

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04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.mp4

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04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.pt-BR.vtt

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04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.zh-CN.vtt

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index.html

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/Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/

01. Intro Project Explore Weather Trends-xneztkf0TsY.ar.vtt

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01. Intro Project Explore Weather Trends-xneztkf0TsY.en.vtt

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01. Intro Project Explore Weather Trends-xneztkf0TsY.mp4

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01. Intro Project Explore Weather Trends-xneztkf0TsY.pt-BR.vtt

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01. Intro Project Explore Weather Trends-xneztkf0TsY.zh-CN.vtt

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01. Your first project.html

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02. Introduction-Z8WNfx9Oq9s.ar.vtt

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02. Introduction-Z8WNfx9Oq9s.en.vtt

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02. Introduction-Z8WNfx9Oq9s.mp4

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02. Introduction-Z8WNfx9Oq9s.pt-BR.vtt

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02. Introduction-Z8WNfx9Oq9s.zh-CN.vtt

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02. Video SQL Introduction.html

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03. Parch Posey Database-JOMI560DgXg.ar.vtt

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03. Parch Posey Database-JOMI560DgXg.en.vtt

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03. Parch Posey Database-JOMI560DgXg.mp4

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03. Parch Posey Database-JOMI560DgXg.pt-BR.vtt

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03. Parch Posey Database-JOMI560DgXg.zh-CN.vtt

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03. Video The Parch Posey Database.html

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04. Entity Relationship Diagrams-YY2TAJLEINA.ar.vtt

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04. Entity Relationship Diagrams-YY2TAJLEINA.en.vtt

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04. Entity Relationship Diagrams-YY2TAJLEINA.mp4

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04. Entity Relationship Diagrams-YY2TAJLEINA.pt-BR.vtt

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04. Entity Relationship Diagrams-YY2TAJLEINA.zh-CN.vtt

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04. Video + Text The Parch Posey Database.html

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05. Video Why SQL.html

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05. Why Businesses Choose Databases-j4ey7--h9r8.ar.vtt

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05. Why Businesses Choose Databases-j4ey7--h9r8.en.vtt

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05. Why Businesses Choose Databases-j4ey7--h9r8.mp4

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05. Why Businesses Choose Databases-j4ey7--h9r8.pt-BR.vtt

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05. Why Businesses Choose Databases-j4ey7--h9r8.zh-CN.vtt

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05. Why Do Analysts Like SQL-uCNOtUht2Xc.ar.vtt

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05. Why Do Analysts Like SQL-uCNOtUht2Xc.en.vtt

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05. Why Do Analysts Like SQL-uCNOtUht2Xc.mp4

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05. Why Do Analysts Like SQL-uCNOtUht2Xc.pt-BR.vtt

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05. Why Do Analysts Like SQL-uCNOtUht2Xc.zh-CN.vtt

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06. How Databases Store Data-H0C9z_sRvLE.ar.vtt

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06. How Databases Store Data-H0C9z_sRvLE.en.vtt

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06. How Databases Store Data-H0C9z_sRvLE.mp4

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06. How Databases Store Data-H0C9z_sRvLE.pt-BR.vtt

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06. How Databases Store Data-H0C9z_sRvLE.zh-CN.vtt

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06. Video How Databases Store Data.html

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07. Types Of Statements-vLvJbIz94C4.ar.vtt

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07. Types Of Statements-vLvJbIz94C4.en.vtt

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07. Types Of Statements-vLvJbIz94C4.mp4

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07. Types Of Statements-vLvJbIz94C4.pt-BR.vtt

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07. Types Of Statements-vLvJbIz94C4.zh-CN.vtt

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07. Video Types of Statements.html

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08. Statements.html

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09. SELECT FROM Statements-urOYuuav4BY.ar.vtt

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09. SELECT FROM Statements-urOYuuav4BY.en.vtt

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09. SELECT FROM Statements-urOYuuav4BY.mp4

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09. SELECT FROM Statements-urOYuuav4BY.pt-BR.vtt

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09. SELECT FROM Statements-urOYuuav4BY.zh-CN.vtt

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09. Video SELECT FROM.html

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10. Text + Quiz Your First Query.html

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11. Solutions Your First Query Solution.html

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12. Text Formatting Best Practices.html

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13. LIMIT Statement-cCPHNNhBgpQ.ar.vtt

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13. LIMIT Statement-cCPHNNhBgpQ.en.vtt

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13. LIMIT Statement-cCPHNNhBgpQ.mp4

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13. LIMIT Statement-cCPHNNhBgpQ.pt-BR.vtt

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13. LIMIT Statement-cCPHNNhBgpQ.zh-CN.vtt

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13. Video LIMIT.html

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14. Quiz LIMIT.html

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15. Solutions LIMIT.html

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16. ORDER BY Statement-wqj2As31LqI.ar.vtt

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16. ORDER BY Statement-wqj2As31LqI.en.vtt

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16. ORDER BY Statement-wqj2As31LqI.mp4

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16. ORDER BY Statement-wqj2As31LqI.pt-BR.vtt

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16. ORDER BY Statement-wqj2As31LqI.zh-CN.vtt

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16. Video ORDER BY.html

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17. Quiz ORDER BY.html

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18. Solutions ORDER BY.html

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19. Order By Part II-XQCjREdOqwE.ar.vtt

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19. Order By Part II-XQCjREdOqwE.en.vtt

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19. Order By Part II-XQCjREdOqwE.mp4

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19. Order By Part II-XQCjREdOqwE.pt-BR.vtt

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19. Order By Part II-XQCjREdOqwE.zh-CN.vtt

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19. Video ORDER BY Part II.html

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20. Quiz ORDER BY Part II.html

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21. Solutions ORDER BY Part II.html

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22. Video WHERE.html

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22. WHERE Statements -mN0uTnlXaxg.ar.vtt

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22. WHERE Statements -mN0uTnlXaxg.en.vtt

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22. WHERE Statements -mN0uTnlXaxg.mp4

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22. WHERE Statements -mN0uTnlXaxg.pt-BR.vtt

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22. WHERE Statements -mN0uTnlXaxg.zh-CN.vtt

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23. Quiz WHERE.html

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24. Solutions WHERE.html

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25. Video WHERE with Non-Numeric Data.html

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25. WHERE with Non-Numeric Data-_pLx7MHOyjo.ar.vtt

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25. WHERE with Non-Numeric Data-_pLx7MHOyjo.en.vtt

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25. WHERE with Non-Numeric Data-_pLx7MHOyjo.mp4

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25. WHERE with Non-Numeric Data-_pLx7MHOyjo.zh-CN.vtt

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26. Quiz WHERE with Non-Numeric.html

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27. Solutions WHERE with Non-Numeric.html

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28. Arithmetic Operators-fgcJdiNECxI.ar.vtt

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28. Arithmetic Operators-fgcJdiNECxI.en.vtt

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28. Arithmetic Operators-fgcJdiNECxI.mp4

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28. Arithmetic Operators-fgcJdiNECxI.pt-BR.vtt

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28. Arithmetic Operators-fgcJdiNECxI.zh-CN.vtt

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28. Video Arithmetic Operators.html

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29. Quiz Arithmetic Operators.html

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30. Solutions Arithmetic Operators.html

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31. Text Introduction to Logical Operators.html

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32. LIKE Operator-O5z6eWkNip4.ar.vtt

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32. LIKE Operator-O5z6eWkNip4.en.vtt

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32. LIKE Operator-O5z6eWkNip4.mp4

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32. LIKE Operator-O5z6eWkNip4.pt-BR.vtt

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32. LIKE Operator-O5z6eWkNip4.zh-CN.vtt

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32. Video LIKE.html

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33. Quiz LIKE.html

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34. Solutions LIKE.html

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35. IN Operator-_JPO7wwX3uA.ar.vtt

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35. IN Operator-_JPO7wwX3uA.en.vtt

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35. IN Operator-_JPO7wwX3uA.mp4

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35. IN Operator-_JPO7wwX3uA.pt-BR.vtt

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35. IN Operator-_JPO7wwX3uA.zh-CN.vtt

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35. Video IN.html

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36. Quiz IN.html

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37. Solutions IN.html

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38. NOT Operator-dSQF87oW8a0.ar.vtt

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38. NOT Operator-dSQF87oW8a0.en.vtt

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38. NOT Operator-dSQF87oW8a0.mp4

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38. NOT Operator-dSQF87oW8a0.pt-BR.vtt

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38. NOT Operator-dSQF87oW8a0.zh-CN.vtt

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38. Video NOT.html

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39. Quiz NOT.html

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40. Solutions NOT.html

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41. AND BETWEEN Operators-nBuDPneWcKY.ar.vtt

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41. AND BETWEEN Operators-nBuDPneWcKY.en.vtt

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41. AND BETWEEN Operators-nBuDPneWcKY.mp4

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41. AND BETWEEN Operators-nBuDPneWcKY.pt-BR.vtt

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41. AND BETWEEN Operators-nBuDPneWcKY.zh-CN.vtt

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41. Video AND and BETWEEN.html

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42. Quiz AND and BETWEEN.html

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43. Solutions AND and BETWEEN.html

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44. OR Operator-3vLGEuXAAvA.ar.vtt

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44. OR Operator-3vLGEuXAAvA.en.vtt

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44. OR Operator-3vLGEuXAAvA.mp4

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44. OR Operator-3vLGEuXAAvA.pt-BR.vtt

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44. OR Operator-3vLGEuXAAvA.zh-CN.vtt

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44. OR Statement-DRmkKVhe6-s.ar.vtt

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44. OR Statement-DRmkKVhe6-s.en.vtt

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44. OR Statement-DRmkKVhe6-s.mp4

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44. OR Statement-DRmkKVhe6-s.pt-BR.vtt

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44. OR Statement-DRmkKVhe6-s.zh-CN.vtt

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44. Video OR.html

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45. Quiz OR.html

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46. Solutions OR.html

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47. SQL Basics Recap.html

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48. Moving Averages.html

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index.html

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/img/

7day-moving-average.png

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daily-sales.png

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ma-in-sheets.png

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ma-in-sheets2.png

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screen-shot-2017-08-02-at-10.48.24-pm.png

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screen-shot-2017-08-02-at-11.14.25-am.png

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screen-shot-2017-08-04-at-6.41.07-pm.png

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weekly-sales.png

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/Part 01-Module 02-Lesson 02_Explore Weather Trends/

01. Project Instructions.html

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02. Accessing Data With SQL.html

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Project Description - Explore Weather Trends.html

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Project Rubric - Explore Weather Trends.html

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index.html

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/img/

earth.png

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/Part 02-Module 01-Lesson 01_Numbers and Strings/

01. Instructor Introduction Charlie And Phillip-8ar0mETDrZw.ar.vtt

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01. Instructor Introduction Charlie And Phillip-8ar0mETDrZw.en.vtt

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01. Instructor Introduction Charlie And Phillip-8ar0mETDrZw.mp4

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01. Instructor Introduction Charlie And Phillip-8ar0mETDrZw.pt-BR.vtt

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01. Welcome to Introduction to Python Programming-IILB-5hIeZM.ar.vtt

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01. Welcome to Introduction to Python Programming-IILB-5hIeZM.en.vtt

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01. Welcome to Introduction to Python Programming-IILB-5hIeZM.mp4

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01. Welcome to Introduction to Python Programming-IILB-5hIeZM.pt-BR.vtt

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01. Welcome to Introduction to Python Programming-IILB-5hIeZM.zh-CN.vtt

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01. Welcome!.html

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01. What are we going to do-rK6YlbBiKQM.ar.vtt

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01. What are we going to do-rK6YlbBiKQM.en.vtt

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01. What are we going to do-rK6YlbBiKQM.mp4

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01. What are we going to do-rK6YlbBiKQM.pt-BR.vtt

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01. What are we going to do-rK6YlbBiKQM.zh-CN.vtt

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02. Arithmetic.html

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02. Ud1110 IntroPy L1 07 Arithmetic Expression In Python-Iq3ovQqBj1M.ar.vtt

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02. Ud1110 IntroPy L1 07 Arithmetic Expression In Python-Iq3ovQqBj1M.en.vtt

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02. Ud1110 IntroPy L1 07 Arithmetic Expression In Python-Iq3ovQqBj1M.mp4

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02. Ud1110 IntroPy L1 07 Arithmetic Expression In Python-Iq3ovQqBj1M.pt-BR.vtt

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02. Ud1110 IntroPy L1 07 Arithmetic Expression In Python-Iq3ovQqBj1M.zh-CN.vtt

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03. Integers and Floats.html

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04. Errors.html

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05. Variables I.html

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06. Variables II.html

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07. Comparison Operators.html

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08. Strings I.html

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09. Built-in Functions.html

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10. Types and Type Conversion.html

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11. String Methods I.html

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12. Python Documentation-lBtG0DO_KqM.ar.vtt

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12. Python Documentation-lBtG0DO_KqM.en.vtt

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12. Python Documentation-lBtG0DO_KqM.mp4

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12. Python Documentation-lBtG0DO_KqM.pt-BR.vtt

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12. Python Documentation-lBtG0DO_KqM.zh-CN.vtt

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12. String Methods II.html

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12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.ar.vtt

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12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.en.vtt

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12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.mp4

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12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.pt-BR.vtt

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12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.zh-CN.vtt

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index.html

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/img/

l1-diagrams.001.jpeg

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l1-diagrams.002.jpeg

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/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/

01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.ar.vtt

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01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.en.vtt

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01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.mp4

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01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.pt-BR.vtt

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01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.zh-CN.vtt

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01. Welcome Back!.html

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02. Defining Functions I.html

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03. Defining Functions II.html

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04. Defining Functions III.html

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05. Put a Python In Your Computer.html

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05. Ud1110 IntroPy L212 Put A Python In Your Computer-P-Lr3WED7pg.ar.vtt

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05. Ud1110 IntroPy L212 Put A Python In Your Computer-P-Lr3WED7pg.mp4

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06. Python Programming Setup.html

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06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.ar.vtt

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06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.mp4

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06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.pt-BR.vtt

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06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.zh-CN.vtt

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07. Code with Branches I.html

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08. Code with Branches II.html

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09. Code with Branches III.html

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10. Code with Branches IV.html

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11. Code with Branches V.html

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12. Breaking Programs Into Smaller Pieces.html

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12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.ar.vtt

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12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.en.vtt

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12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.mp4

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12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.zh-CN.vtt

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13. Outlining and Building a Program.html

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14. Building Program Pieces I.html

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15. Building Program Pieces II.html

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16. Building Program Pieces III.html

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17. Building Program Pieces IV.html

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18. Putting together the Pieces.html

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18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.ar.vtt

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18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.en.vtt

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18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.mp4

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index.html

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/img/

intropt-l2-looking-for-python-big.png

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intropy-l1-elements-of-function-definition2.png

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intropy-l2-circular-cylinder-rh.svg

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intropy-l2-if-example.png

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python-in-terminal.png

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/Part 02-Module 01-Lesson 03_Data Structures and Loops/

01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.ar.vtt

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01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.mp4

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01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.zh-CN.vtt

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01. Welcome Back!.html

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02. Lists.html

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03. Lists II.html

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04. For Loops.html

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05. For Loops II.html

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06. While Loops.html

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07. While Loops II.html

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08. Reorganizing Code.html

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08. Ud1110 IntroPy L3 37 Reading Existing Code-0Pg3HryU9Z4.ar.vtt

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08. Ud1110 IntroPy L3 37 Reading Existing Code-0Pg3HryU9Z4.mp4

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09. Reorganizing Code II.html

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10. Sets.html

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11. Sets II.html

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12. Dictionaries.html

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13. Dictionaries II.html

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14. Dictionaries III.html

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15. Dictionaries IV.html

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16. Compound Data Structures.html

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17. Compound Data Structures II.html

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18. Problem Solving Skills-el9knzvU4TM.ar.vtt

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18. Problem Solving Skills-el9knzvU4TM.en.vtt

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18. Problem Solving Skills-el9knzvU4TM.mp4

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18. Problem Solving Skills-el9knzvU4TM.pt-BR.vtt

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18. Problem Solving Skills-el9knzvU4TM.zh-CN.vtt

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18. Problem Solving Skills.html

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index.html

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/img/

for-loop.png

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join.png

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screen-shot-2017-01-09-at-1.08.23-pm.png

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slicing.png

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/Part 02-Module 01-Lesson 04_Files and Modules/

01. Tuples.html

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02. Tuples II.html

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03. Default Arguments.html

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04. Variable Scope.html

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05. Reading from a File.html

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06. Reading from a File II.html

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07. The Standard Library.html

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08. The Standard Library II.html

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09. Third-Party Libraries.html

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10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.ar.vtt

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10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.mp4

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10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.pt-BR.vtt

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10. Using Online Resources.html

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index.html

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/img/

ezgif-5-1b119f201c.gif

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intropy-l4-reading-from-a-file.png

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/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/

01. Case Study Introduction.html

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01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.ar.vtt

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01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.en.vtt

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01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.mp4

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01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.pt-BR.vtt

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01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.zh-CN.vtt

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02. Beautiful Soup Demonstration-dk7ESZXLnk4.ar.vtt

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02. Beautiful Soup Demonstration-dk7ESZXLnk4.en.vtt

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02. Beautiful Soup Demonstration-dk7ESZXLnk4.mp4

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02. Beautiful Soup Demonstration-dk7ESZXLnk4.pt-BR.vtt

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02. Beautiful Soup Demonstration-dk7ESZXLnk4.zh-CN.vtt

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02. Exploring HTML with Developer Tools-YWbCvLCBQrg.ar.vtt

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02. Exploring HTML with Developer Tools-YWbCvLCBQrg.en.vtt

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02. Exploring HTML with Developer Tools-YWbCvLCBQrg.mp4

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02. Exploring HTML with Developer Tools-YWbCvLCBQrg.pt-BR.vtt

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02. Exploring HTML with Developer Tools-YWbCvLCBQrg.zh-CN.vtt

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02. Laying the Groundwork.html

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02. Using Python to get HTML-1Y_CZyKNWe4.ar.vtt

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02. Using Python to get HTML-1Y_CZyKNWe4.en.vtt

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02. Using Python to get HTML-1Y_CZyKNWe4.mp4

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02. Using Python to get HTML-1Y_CZyKNWe4.pt-BR.vtt

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02. Using Python to get HTML-1Y_CZyKNWe4.zh-CN.vtt

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03. Designing the Program.html

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04. Implementing the Program.html

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04. Ud1110 IntroPy L5 22 Continue Crawl Solution-tLhTfSZ6LRA.ar.vtt

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04. Ud1110 IntroPy L5 22 Continue Crawl Solution-tLhTfSZ6LRA.mp4

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05. Coding inside the skeleton loop-MRPdqOwnqag.ar.vtt

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05. Continue Crawl Solution-cFwJ_MO3ofs.ar.vtt

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05. Implementing the Program II.html

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06. Implementing the Program III.html

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07. Finding the First Link-_bPdJBJtNqo.ar.vtt

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07. Finding the First Link-_bPdJBJtNqo.en.vtt

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07. Finding the First Link-_bPdJBJtNqo.mp4

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07. Finding the First Link-_bPdJBJtNqo.pt-BR.vtt

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07. Finding the First Link-_bPdJBJtNqo.zh-CN.vtt

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07. Iterative Programming I.html

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07. Ud1110 IntroPy L5 30 Finding The First Link-Z-uuXDrMzqM.ar.vtt

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07. Ud1110 IntroPy L5 30 Finding The First Link-Z-uuXDrMzqM.mp4

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08. Iterative Programming II.html

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08. Ud1110 IntroPy L5 34 Finding The First Link 2-bsMtF-705EU.ar.vtt

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08. Ud1110 IntroPy L5 34 Finding The First Link 2-bsMtF-705EU.mp4

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08. Ud1110 IntroPy L5 37 Squashing Bugs-X-GqfxYpaw0.ar.vtt

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08. Ud1110 IntroPy L5 37 Squashing Bugs-X-GqfxYpaw0.mp4

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09. Iterative Programming III.html

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10. Finishing Touches.html

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10. The Completed Program-yGDHoIOfwt8.ar.vtt

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10. The Completed Program-yGDHoIOfwt8.en.vtt

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10. The Completed Program-yGDHoIOfwt8.mp4

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10. The Completed Program-yGDHoIOfwt8.pt-BR.vtt

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10. The Completed Program-yGDHoIOfwt8.zh-CN.vtt

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11. Conclusion.html

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11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.ar.vtt

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11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.en.vtt

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11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.mp4

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11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.pt-BR.vtt

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11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.ar.vtt

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11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.mp4

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index.html

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/img/

kitty.png

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trees.png

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/Part 02-Module 02-Lesson 01_Python Project/

01. Project Overview.html

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02. Project Details.html

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03. Notebook interface.html

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04. Code Cells.html

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05. Markdown cells.html

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06. Magic keywords.html

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07. Project Notebook.html

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08. Classroom DAND-Explore US Bikeshare Data Walkthrough-0yuglNRWyKs.en.vtt

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08. Classroom DAND-Explore US Bikeshare Data Walkthrough-0yuglNRWyKs.mp4

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08. Project Walkthrough.html

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Project Description - Explore US Bikeshare Data.html

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Project Rubric - Explore US Bikeshare Data.html

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index.html

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/img/

magic-matplotlib.png

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magic-pdb.png

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magic-timeit.png

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magic-timeit2.png

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/media/

Markdown+cells.mp4

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command+palette.mp4

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notebook+interface.mp4

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/Part 03-Module 01-Lesson 01_Anaconda/

01. Introduction.html

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01. Why Anaconda-VXukXZv7SCQ.ar.vtt

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01. Why Anaconda-VXukXZv7SCQ.en.vtt

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01. Why Anaconda-VXukXZv7SCQ.mp4

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01. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt

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01. Why Anaconda-VXukXZv7SCQ.zh-CN.vtt

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02. What is Anaconda.html

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03. Installing Anaconda.html

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04. Managing packages.html

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05. Managing environments.html

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06. More environment actions.html

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07. Best practices.html

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08. Python Versions.html

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index.html

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/img/

conda-create-env.png

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conda-env-export.png

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conda-install.png

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conda-search.png

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/media/

conda_default_install.mp4

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conda_enter.mp4

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conda_install.mp4

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/Part 03-Module 01-Lesson 02_Jupyter Notebooks/

01. Jupyter-qiYDWFLyXvg.ar.vtt

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01. Jupyter-qiYDWFLyXvg.en.vtt

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01. Jupyter-qiYDWFLyXvg.mp4

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01. Jupyter-qiYDWFLyXvg.pt-BR.vtt

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01. Jupyter-qiYDWFLyXvg.zh-CN.vtt

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01. What are Jupyter notebooks.html

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02. Installing Jupyter Notebook.html

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03. Launching the notebook server.html

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04. Notebook interface.html

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05. Code cells.html

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06. Markdown cells.html

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07. Keyboard shortcuts.html

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08. Magic keywords.html

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09. Converting notebooks.html

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10. Creating a slideshow.html

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11. Finishing up.html

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index.html

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/img/

conda-environments.png

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conda-tab.png

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magic-matplotlib.png

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magic-pdb.png

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magic-timeit.png

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magic-timeit2.png

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nbconvert-example.png

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server-shutdown.png

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/media/

Markdown+cells.mp4

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command+palette.mp4

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notebook+interface.mp4

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/Part 03-Module 02-Lesson 01_The Data Analysis Process/

01. Handoff to Juno Lee.html

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01. Instructor Introduction Juno Lee-to8Pp3PCOZo.ar.vtt

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01. Instructor Introduction Juno Lee-to8Pp3PCOZo.en.vtt

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02. Lesson Overview-1EzlGH4Biu0.ar.vtt

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02. Lesson Overview-1EzlGH4Biu0.mp4

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02. Lesson Overview.html

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03. Problems Solved by Data Analysts-zbjRiYSSR_Y.ar.vtt

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03. Problems Solved by Data Analysts.html

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04. Setting Up Your Programming Environment.html

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05. DAP Overview-qdV4sifMmWI.ar.vtt

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05. DAP Overview-qdV4sifMmWI.mp4

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05. Data Analysis Process Overview.html

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06. Data Analysis Process Quiz.html

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07. Packages Overview-sCQoQsmI3F0.ar.vtt

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07. Packages Overview.html

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08. Packages Overview Quiz.html

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09. Asking Questions-EvhIgrXtOao.ar.vtt

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09. Asking Questions.html

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10. Questions for a Dataset.html

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11. Data Wrangling And EDA-EQXfxbUup0o.ar.vtt

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11. Data Wrangling and EDA.html

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12. Gathering Data-JsVg95-amjI.ar.vtt

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12. Gathering Data.html

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13. Reading CSV Files.html

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14. Assessing and Building Intuition.html

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15. Assessing and Building Intuition Quiz.html

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16. Cleaning Data-AJF5smH1TJU.ar.vtt

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17. Cleaning Example-7bnSPYtPDzQ.ar.vtt

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/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/

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12. Pandas Groupby-aWc18hHpXRk.ar.vtt

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14. Pandas Query.html

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18. Matplotlib Example.html

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/Part 03-Module 02-Lesson 03_Data Analysis Process - Case Study 2/

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/Part 03-Module 02-Lesson 04_Programming Workflow for Data Analysis/

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/Part 03-Module 03-Lesson 01_Basic SQL/

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01. Video SQL Introduction.html

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03. Video + Text The Parch Posey Database.html

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04. Quiz ERD Fundamentals.html

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05. Text Map of SQL Content.html

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06. Video Why SQL.html

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32. Solutions Arithmetic Operators.html

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33. Text Introduction to Logical Operators.html

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49. Text Recap Looking Ahead.html

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index.html

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/img/

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/Part 03-Module 03-Lesson 02_SQL Joins/

01. Introduction to JOINs-YvZ010GU-Ck.ar.vtt

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01. Introduction to JOINs-YvZ010GU-Ck.en.vtt

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01. Introduction to JOINs-YvZ010GU-Ck.mp4

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01. Introduction to JOINs-YvZ010GU-Ck.pt-BR.vtt

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01. Introduction to JOINs-YvZ010GU-Ck.zh-CN.vtt

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01. Video Motivation.html

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02. Video Why Would We Want to Split Data Into Separate Tables.html

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02. Why Not Store Everything in One Table-rvY4A6FpS40.ar.vtt

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02. Why Not Store Everything in One Table-rvY4A6FpS40.en.vtt

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02. Why Not Store Everything in One Table-rvY4A6FpS40.mp4

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02. Why Use Separate Tables-UIQBtpmqYOs.ar.vtt

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02. Why Use Separate Tables-UIQBtpmqYOs.en.vtt

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02. Why Use Separate Tables-UIQBtpmqYOs.zh-CN.vtt

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03. Video Introduction to JOINs.html

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03. Your First JOIN-HkX9fkNRbU8.ar.vtt

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03. Your First JOIN-HkX9fkNRbU8.en.vtt

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03. Your First JOIN-HkX9fkNRbU8.mp4

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04. Text + Quiz Your First JOIN.html

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05. Solution Your First JOIN.html

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06. Text ERD Reminder.html

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07. Text Primary and Foreign Keys.html

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08. Quiz Primary - Foreign Key Relationship.html

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09. Text + Quiz JOIN Revisited.html

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10. ALIAS-viWHJaxWTvw.ar.vtt

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10. Video Alias.html

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11. Quiz JOIN Questions Part I.html

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12. Solutions JOIN Questions Part I.html

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13. Motivation for Other JOINs-3qdv1Ojc9Og.ar.vtt

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13. Motivation for Other JOINs-3qdv1Ojc9Og.en.vtt

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13. Motivation for Other JOINs-3qdv1Ojc9Og.mp4

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13. Video Motivation for Other JOINs.html

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14. JOINs-CxuHtd1Daqk.ar.vtt

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14. Other JOINs-4edRxFmWUEw.ar.vtt

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14. Other JOINs-4edRxFmWUEw.mp4

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14. Other JOINs-4edRxFmWUEw.pt-BR.vtt

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14. Other JOINs-4edRxFmWUEw.zh-CN.vtt

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14. Video LEFT and RIGHT JOINs.html

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15. Text Other JOIN Notes.html

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16. LEFT and RIGHT JOIN.html

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17. Solutions LEFT and RIGHT JOIN .html

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18. JOINs and Filtering-aI1kbDDNs4w.ar.vtt

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18. JOINs and Filtering-aI1kbDDNs4w.en.vtt

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18. JOINs and Filtering-aI1kbDDNs4w.mp4

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18. JOINs and Filtering-aI1kbDDNs4w.pt-BR.vtt

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18. JOINs and Filtering-aI1kbDDNs4w.zh-CN.vtt

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18. Video JOINs and Filtering.html

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19. Quiz Last Check.html

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20. Solutions Last Check.html

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21. Text Recap Looking Ahead.html

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erd.png

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/Part 03-Module 03-Lesson 03_SQL Aggregations/

01. Introduction to Aggregations-5vRf_Ntoxfw.ar.vtt

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02. NULLs-WYUkLKn6XCw.ar.vtt

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03. Video NULLs and Aggregation.html

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04. COUNT-b4FCWAEGmLg.ar.vtt

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04. Video + Text First Aggregation - COUNT.html

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06. SUM-0zUP14PeiXk.ar.vtt

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10. Video AVG.html

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11. Quiz MIN, MAX, AVG.html

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12. Solutions MIN, MAX, AVG.html

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13. GROUP BY-9vb67TF4WV0.ar.vtt

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13. Video GROUP BY.html

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16. Video GROUP BY Part II.html

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17. Quiz GROUP BY Part II.html

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18. Solutions GROUP BY Part II.html

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19. DISTINCT-YDJEHkgKORY.ar.vtt

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22. Having-D4gmN0vnk58.ar.vtt

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22. Having-D4gmN0vnk58.mp4

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22. Video HAVING.html

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23. HAVING.html

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24. Solutions HAVING.html

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25. DATE Functions I-E7Z6GMFVmIY.ar.vtt

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25. Video DATE Functions.html

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26. DATE Functions Part II-UPWkDhW4cLI.ar.vtt

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26. DATE Functions Part II-UPWkDhW4cLI.zh-CN.vtt

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26. Video DATE Functions II.html

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27. Quiz DATE Functions.html

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28. Solutions DATE Functions.html

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29. 11 CASE V2-BInXuTY_FzE.ar.vtt

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29. 11 CASE V2-BInXuTY_FzE.mp4

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29. Video CASE Statements.html

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30. CASE Statements and Aggregations-asSXB6iD3z4.ar.vtt

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30. CASE Statements and Aggregations-asSXB6iD3z4.zh-CN.vtt

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30. Video CASE Aggregations.html

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31. Quiz CASE.html

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32. Solutions CASE.html

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33. Text Recap.html

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index.html

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/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/

01. Introduction-2Y279421n3A.ar.vtt

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01. Introduction-2Y279421n3A.pt-BR.vtt

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01. Video Introduction.html

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02. Introduction to Subqueries-s8ZJMj4gscY.ar.vtt

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02. Video Introduction to Subqueries.html

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03. Video + Quiz Write Your First Subquery.html

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03. Your First Subquery-cTM1jPYXLoQ.ar.vtt

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04. Solutions Write Your First Subquery.html

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05. Text Subquery Formatting.html

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06. Subqueries Part II-jko-RrZd0R8.ar.vtt

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06. Video More On Subqueries.html

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09. SQL Subquery Video-10pmKmTI_CA.en.vtt

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09. SQL Subquery Video-10pmKmTI_CA.pt-BR.vtt

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09. Solution Video More On Subqueries.html

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10. Quiz Subquery Mania.html

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11. Solution Subquery Mania.html

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11. Subquery Solution Video-Y6S3S0LsMrw.ar.vtt

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12. Common Table Expressions-qtEKO7B8bXQ.ar.vtt

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12. Subqueries Using WITH-IszTmDKyKHI.ar.vtt

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12. Video WITH.html

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14. Quiz WITH.html

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15. Solutions WITH.html

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16. Subquery Conclusion-TUYvx2K9-5k.ar.vtt

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/Part 03-Module 03-Lesson 05_SQL Data Cleaning/

01. Introduction to Data Cleaning-YTtH3NM2BX0.ar.vtt

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02. Video LEFT RIGHT.html

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05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.ar.vtt

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05. Video POSITION, STRPOS, SUBSTR.html

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/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/

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02. Video Window Functions 1.html

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10. Aggregates in Window Functions-Dxew5w3VF7k.ar.vtt

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16. Comparing Row to Previous Row-Z_x5ZJyDZog.ar.vtt

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19. Introduction to Percentiles-t7SX2ZEdxKA.ar.vtt

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index.html

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/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/

01. Introduction to Advanced SQL-i0VaVPIKUks.ar.vtt

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01. Video Introduction to Advanced SQL.html

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02. Text + Images FULL OUTER JOIN.html

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04. Solutions FULL OUTER JOIN.html

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05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.ar.vtt

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11. UNION 1-APRpwqFpGwI.ar.vtt

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13. Solutions UNION.html

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14. Performance Tuning Motivation-aY4_uYWEuoE.ar.vtt

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19. Video SQL Completion Congratulations.html

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/Part 03-Module 04-Lesson 01_Investigate a Dataset/

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05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.en.vtt

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05. Project Walkthrough.html

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Project Description - Investigate a Dataset.html

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/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/

01. Introduce Instructors.html

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02. Text Optional Lessons Note.html

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03. Video Welcome!.html

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04. Video What is Data Why is it important.html

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05. Video Data Types (Quantitative vs. Categorical).html

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07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.ar.vtt

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10. Text + Quiz Data Types (Ordinal vs. Nominal).html

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12. Introduction to Summary Statistics-PCZmHCrcMcw.ar.vtt

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13. Calculating the Mean-1nzZxmJ8xvU.ar.vtt

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13. Video Measures of Center (Mean).html

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15. The Median-WlT3eeW0rb0.ar.vtt

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22. Video Capital vs. Lower.html

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/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/

01. 26 Spread Part 1-zb76Z_viYLY.ar.vtt

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04. Video Introduction to Five Number Summary.html

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/Part 04-Module 01-Lesson 03_Admissions Case Study/

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/Part 04-Module 01-Lesson 04_Probability/

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/Part 04-Module 01-Lesson 05_Binomial Distribution/

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01. Binomial.html

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17. Text Recap + Next Steps.html

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index.html

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/Part 04-Module 01-Lesson 06_Conditional Probability/

01. Introduction to Conditional Probability-Ok8948Wcbmo.ar.vtt

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02. Medical Example 1-E1ph6NP3_v4.ar.vtt

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/Part 04-Module 01-Lesson 07_Bayes Rule/

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28. Robot Sensing 8.html

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29. Generalizing-SdMk3aROgSc.ar.vtt

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29. Generalizing.html

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30. Sebastian At Home-R4zq6mPPMxs.ar.vtt

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30. Sebastian At Home.html

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31. Learning Objectives - Conditional Probability.html

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32. Reducing Uncertainty-zuFMhmKQ--o.ar.vtt

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32. Reducing Uncertainty.html

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33. Bayes' Rule and Robotics-meNSO42JF6I.ar.vtt

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33. Bayes' Rule and Robotics-meNSO42JF6I.mp4

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33. Bayes' Rule and Robotics.html

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34. Learning from Sensor Data.html

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35. Using Sensor Data-vhl-SADfti8.ar.vtt

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35. Using Sensor Data.html

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36. Learning Objectives - Bayes' Rule.html

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37. Bayes Rule Conclusion-vlfDGCD8w0s.ar.vtt

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index.html

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/img/

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/Part 04-Module 01-Lesson 08_Python Probability Practice/

01. Introduction.html

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02. Simulating Coin Flips-7YtQNZ3iy6o.ar.vtt

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02. Simulating Coin Flips.html

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03. Probability Quiz.html

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04. Simulating Many Coin Flips-AqpWQIj2V5Y.ar.vtt

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04. Simulating Many Coin Flips.html

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05. Binomial Distributions Quiz.html

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06. Cancer Test Results.html

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07. Conditional Probability Bayes Rule Quiz.html

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08. Conclusion.html

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index.html

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/Part 04-Module 01-Lesson 09_Normal Distribution Theory/

01. Maximum Probability-5zkupL6EWh8.ar.vtt

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01. Maximum Probability.html

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02. Shape-DjsL64Kjr1Q.ar.vtt

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02. Shape.html

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03. Better Formula-vMAl1m8ZtoI.ar.vtt

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03. Better Formula.html

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04. Quadratics-1R44jvxIPJY.ar.vtt

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06. Quadratics 3.html

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12. Normalizer-mQ_IjrtmmAk.ar.vtt

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14. Central Limit Theorem-36KLIHioAvA.ar.vtt

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/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/

01. Introduction-SvdlBB-ZjcQ.ar.vtt

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01. Introduction.html

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02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.ar.vtt

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02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt

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02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.zh-CN.vtt

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02. Video Descriptive vs. Inferential Statistics.html

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03. Quiz Descriptive vs. Inferential (Udacity Students).html

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04. Quiz Descriptive vs. Inferential (Bagels).html

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05. Text Descriptive vs. Inferential Statistics.html

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06. Example of Sampling Distributions - Part I-1XezzP6kxUE.ar.vtt

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06. Video + Quiz Introduction to Sampling Distributions Part I.html

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07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.ar.vtt

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07. Video + Quiz Introduction to Sampling Distributions Part II.html

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08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.ar.vtt

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08. Video Introduction to Sampling Distributions Part III.html

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09. Notebook + Quiz Sampling Distributions Python.html

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10. Text Sampling Distribution Notes.html

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11. Introduction To Notation-ISkBSUVH49M.ar.vtt

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12. Notation Parameters vs. Statistics-webref_dLrA.ar.vtt

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12. Video Notation for Parameters vs. Statistics.html

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14. Other Sampling Distributions-Bxl0DonzX8c.ar.vtt

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15. Two Useful Theorems-jQ5i7CALdRQ.ar.vtt

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15. Video Two Useful Theorems - Law of Large Numbers.html

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16. Notebook + Quiz Law of Large Numbers.html

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17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.ar.vtt

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17. Video Two Useful Theorems - Central Limit Theorem.html

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18. Notebook + Quiz Central Limit Theorem.html

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19. Notebook + Quiz Central Limit Theorem - Part II.html

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20. Video When Does the Central Limit Theorem Not Work.html

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20. When Does the CLT Not Work-uZGTVUEMfrU.ar.vtt

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21. Notebook + Quiz Central Limit Theorem - Part III.html

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22. Bootstrapping-42j3YclcZ4Q.ar.vtt

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25. Background Of Bootstrapping-6Vg5kGoDl7k.ar.vtt

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25. Video The Background of Bootstrapping.html

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26. Video Why are Sampling Distributions Important.html

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26. Why Are Sampling Distributions Important-aDFDOCJKoH0.ar.vtt

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27. Quiz + Text Recap Next Steps.html

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/Part 04-Module 01-Lesson 11_Confidence Intervals/

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02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.en.vtt

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04. Notebook + Quiz Building Confidence Intervals.html

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05. Confidence Interval for a Difference In Means-8hrWGzjyhck.en.vtt

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08. Statistical vs. Practical Differences-RKHD1wzxxPA.en.vtt

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08. Video Statistical vs. Practical Significance.html

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10. Traditional Confidence Interval Methods-DmZwYHuz2eM.en.vtt

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11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.en.vtt

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12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.en.vtt

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12. Video Other Language Associated with Confidence Intervals.html

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14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.en.vtt

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16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.en.vtt

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/Part 04-Module 01-Lesson 12_Hypothesis Testing/

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04. Setting Up Hypothesis Tests - Part II.html

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06. Types Of Errors - Part I-aw6GMxIvENc.en.vtt

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08. Types Of Errors - Part II-mbdSQ5CjdFs.en.vtt

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10. Types Of Errors - Part III-Z-srkCPsdaM.en.vtt

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10. Types of Errors - Part III.html

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12. Common Types of Hypothesis Tests-8hv8KnvQ6JY.en.vtt

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13. How Do We Choose Between Hypotheses-JkXTwS-5Daw.en.vtt

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13. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.en.vtt

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14. Simulating From the Null-sL2yJtHZd8Y.en.vtt

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16. What Is A P-value Anyway-eU6pUZjqviA.en.vtt

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17. Calculating the p-value-_W3Jg7jQ8jI.en.vtt

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20. Connecting Errors and P-Values-hFNjd5l9CLs.en.vtt

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21. Conclusions In Hypothesis Testing-I0Mo7hcxahY.en.vtt

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21. Conclusions in Hypothesis Testing.html

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22. Quiz Connecting Errors and P-Values.html

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23. Notebook + Quiz Drawing Conclusions.html

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24. Other Things to Consider - What if Our Sample is Large.html

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24. What If Our Sample Is Large-WoTCeSTL1eM.en.vtt

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25. Multiple Testing Corrections-DuMgeHrkIF0.en.vtt

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25. Other Things to Consider - What if Test More Than Once.html

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26. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.en.vtt

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26. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.mp4

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26. Other Things to Consider - How Do CIs and HTs Compare.html

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27. Notebook + Quiz Other Things to Consider.html

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29. Hypothesis Testing Conclusion-nQFchD4XPPs.en.vtt

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30. Quiz + Text Recap.html

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index.html

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/Part 04-Module 01-Lesson 13_Case Study AB tests/

01. Case Study Introduction-J5uvdPxHIfs.en.vtt

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01. Introduction.html

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02. AB Testing-EcWvhbIjT9o.en.vtt

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02. AB Testing-EcWvhbIjT9o.mp4

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02. AB Testing-EcWvhbIjT9o.pt-BR.vtt

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04. Business Example-Wzz7omSDfEk.en.vtt

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05. Experiment I-JLKAdT2JESk.en.vtt

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06. Quiz Experiment I.html

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07. Metric - Click Through Rate-EpfoKAwV_Eg.en.vtt

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07. Metric - Click Through Rate.html

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08. Click Through Rate.html

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09. Experiment II-fq4eO7CybA4.en.vtt

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10. Metric - Enrollment Rate.html

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11. Metric - Average Reading Duration-w6Y9ZxHDEbw.en.vtt

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11. Metric - Average Reading Duration-w6Y9ZxHDEbw.mp4

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11. Metric - Average Reading Duration.html

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12. Metric - Average Classroom Time.html

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13. Metric - Completion Rate.html

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14. Analyzing Multiple Metrics-DtZghKNa7Ak.en.vtt

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14. Analyzing Multiple Metrics-DtZghKNa7Ak.mp4

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14. Analyzing Multiple Metrics.html

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15. Quiz Analyzing Multiple Metrics.html

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16. Drawing Conclusions-s-4ghG9vrGQ.en.vtt

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16. Drawing Conclusions-s-4ghG9vrGQ.mp4

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16. Drawing Conclusions-s-4ghG9vrGQ.pt-BR.vtt

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16. Drawing Conclusions.html

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17. Quiz Difficulties in AB Testing.html

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18. Conclusion-qmGjRpMVBz8.en.vtt

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18. Conclusion-qmGjRpMVBz8.mp4

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18. Conclusion-qmGjRpMVBz8.pt-BR.vtt

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18. Conclusion.html

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index.html

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/Part 04-Module 01-Lesson 14_Regression/

01. Regression Introduction-PKqSS0TzXeA.en.vtt

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01. Regression Introduction-PKqSS0TzXeA.mp4

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01. Regression Introduction-PKqSS0TzXeA.pt-BR.vtt

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01. Video Introduction.html

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02. Introduction to Machine Learning-pLcFPPI1L-0.en.vtt

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02. Introduction to Machine Learning-pLcFPPI1L-0.mp4

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02. Introduction to Machine Learning-pLcFPPI1L-0.zh-CN.vtt

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02. Video Introduction to Machine Learning.html

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03. Quiz Machine Learning Big Picture.html

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04. Introduction to Linear Regression-RD4zbBvXDnM.en.vtt

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04. Introduction to Linear Regression-RD4zbBvXDnM.mp4

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04. Video Introduction to Linear Regression.html

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05. Quiz Linear Regression Language.html

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06. Scatter Plots -DvlxZ37O4i8.ar.vtt

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06. Scatter Plots.html

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07. Quizzes On Scatter Plots.html

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08. Correlation Coefficients-rL5Bn8Fi-zE.ar.vtt

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08. Correlation Coefficients.html

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09. Correlation Coefficient Quizzes.html

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10. Video What Defines A Line.html

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10. What Defines A Line-lTqwhsSNP2c.en.vtt

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10. What Defines A Line-lTqwhsSNP2c.mp4

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11. Quiz What Defines A Line - Notation Quiz.html

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12. Quiz What Defines A Line - Line Basics Quiz.html

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13. Fitting A Regression Line-xQob80zrT3s.en.vtt

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13. Fitting A Regression Line-xQob80zrT3s.mp4

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13. Video Fitting A Regression Line.html

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14. Text The Regression Closed Form Solution.html

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15. Fitting A Regression Line In Python-0CiMDbEUeS4.en.vtt

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15. Fitting A Regression Line In Python-0CiMDbEUeS4.mp4

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15. Fitting A Regression Line In Python-0CiMDbEUeS4.pt-BR.vtt

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15. Fitting A Regression Line In Python-0CiMDbEUeS4.zh-CN.vtt

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15. Screencast Fitting A Regression Line in Python.html

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16. How Do We Interpret Results-eLk0XGGMaCE.en.vtt

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16. How Do We Interpret Results-eLk0XGGMaCE.mp4

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16. How Do We Interpret Results-eLk0XGGMaCE.zh-CN.vtt

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16. Video How to Interpret the Results.html

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17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.en.vtt

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17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.mp4

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17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.zh-CN.vtt

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17. Video Does the Line Fit the Data Well.html

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18. Notebook + Quiz How to Interpret the Results.html

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19. Notebook + Quiz Regression - Your Turn - Part I.html

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20. Notebook + Quiz Your Turn - Part II.html

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21. Recap-DzMi27LI5l4.en.vtt

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21. Recap-DzMi27LI5l4.mp4

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21. Video Recap.html

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22. Text Recap + Next Steps.html

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index.html

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/img/

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/Part 04-Module 01-Lesson 15_Multiple Linear Regression/

01. Introduction to Multiple Linear Regression-b26v8HK-8-o.en.vtt

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01. Video Introduction.html

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02. Multiple Linear Regression-rvYZp99nj6c.en.vtt

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02. Multiple Linear Regression-rvYZp99nj6c.mp4

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02. Multiple Linear Regression-rvYZp99nj6c.pt-BR.vtt

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02. Video Multiple Linear Regression.html

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03. Fitting A Multiple Linear Regression Model-EZNvBF66_b0.en.vtt

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03. Screencast Fitting A Multiple Linear Regression Model.html

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04. Notebook + Quiz Fitting A MLR Model.html

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05. How Does MLR Work-bvM6eUYyurA.en.vtt

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05. How Does MLR Work-bvM6eUYyurA.mp4

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06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.en.vtt

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06. Video Multiple Linear Regression Model Results.html

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07. Quiz Interpreting Coefficients in MLR.html

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08. Dummy Variables--QTgDd-fZuA.en.vtt

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11. Screencast Dummy Variables.html

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15. Potential Problems-lGwB6YRThbI.en.vtt

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15. Video Potential Problems.html

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16. [Optional] Text Linear Model Assumptions.html

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17. Multicollinearity VIFs-wbtrXMusDe8.en.vtt

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22. Interactions Higher Order Terms-gMHwogzqPOk.mp4

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22. Interactions Higher Order Terms-gMHwogzqPOk.pt-BR.vtt

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22. Interactions Higher Order Terms-gMHwogzqPOk.zh-CN.vtt

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22. Screencast How to Add Higher Order Terms.html

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23. Interpreting Interactions-XV6S2srsdxw.en.vtt

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23. Interpreting Interactions-XV6S2srsdxw.mp4

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23. Video Interpreting Interactions.html

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24. Text Interpreting Interactions.html

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25. Notebook + Quiz Interpreting Model Coefficients.html

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26. Recap-VM6GGNC2q8I.en.vtt

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26. Recap-VM6GGNC2q8I.mp4

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26. Video Recap.html

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index.html

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/img/

quadraticlinearregression.png

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resid2.jpg

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/Part 04-Module 01-Lesson 16_Logistic Regression/

01. Introduction to Logistic Regression-P_f2RjjnPEg.en.vtt

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01. Introduction to Logistic Regression-P_f2RjjnPEg.mp4

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01. Video Introduction.html

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02. Fitting Logistic Regression-Dg0rBDQnIYg.en.vtt

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02. Fitting Logistic Regression-Dg0rBDQnIYg.mp4

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02. Video Fitting Logistic Regression.html

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03. Quiz Logistic Regression Quick Check.html

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04. Fitting Logistic Regression In Python-baQf-XiZQQ4.en.vtt

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04. Fitting Logistic Regression In Python-baQf-XiZQQ4.mp4

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04. Video Fitting Logistic Regression in Python.html

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05. Notebook + Quiz Fitting Logistic Regression in Python.html

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06. Interpreting Results-UPOxxbKu6CQ.en.vtt

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06. Video Interpreting Results - Part I.html

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07. Interpreting Results in Python-IY88UTiJltQ.en.vtt

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07. Interpreting Results in Python-IY88UTiJltQ.mp4

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07. Video (ScreenCast) Interpret Results - Part II.html

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08. Notebook + Quiz Interpret Results.html

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09. Model Diagnostics-XsYFAtzF6e4.en.vtt

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09. Model Diagnostics-XsYFAtzF6e4.mp4

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09. Video Model Diagnostics + Performance Metrics.html

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10. Confusion Matrices-bEAaNv-CBQ4.ar.vtt

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10. Confusion Matrices-bEAaNv-CBQ4.mp4

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10. Confusion Matrices.html

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11. Confusion Matrix Practice 1-Nn_8kCRYn2k.ar.vtt

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11. Confusion Matrix Practice 1-Nn_8kCRYn2k.mp4

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11. Confusion Matrix Practice 1.html

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12. Confusion Matrix Practice 2.html

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13. Filling in a Confusion Matrix-FwaYsmnlLM4.ar.vtt

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13. Filling in a Confusion Matrix.html

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14. Confusion Matrix False Alarms-611qWzIxGmU.ar.vtt

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14. Confusion Matrix False Alarms-611qWzIxGmU.mp4

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14. Confusion Matrix False Alarms.html

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15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.ar.vtt

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15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.en.vtt

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15. Confusion Matrix for Eigenfaces.html

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16. How Many Schroeders-T2dveKB64Ho.ar.vtt

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16. How Many Schroeders-jO81hfubpXY.mp4

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16. How Many Schroeders.html

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17. How Many Schroeder Predictions-n7gp8USw0Jw.ar.vtt

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17. How Many Schroeder Predictions-n7gp8USw0Jw.mp4

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18. Classifying Chavez Correctly 1-0PFq8zoaNWU.ar.vtt

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18. Classifying Chavez Correctly 1-Jbqf8OBORDg.mp4

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18. Classifying Chavez Correctly 1.html

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19. Classifying Chavez Correctly 2-HWW9BNHnPo0.ar.vtt

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19. Classifying Chavez Correctly 2-hqO8kxRJdd4.mp4

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19. Classifying Chavez Correctly 2-hqO8kxRJdd4.zh-CN.vtt

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19. Classifying Chavez Correctly 2.html

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20. Precision and Recall-3vT0kSBCLdU.ar.vtt

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20. Precision and Recall-3vT0kSBCLdU.en.vtt

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20. Precision and Recall-3vT0kSBCLdU.mp4

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20. Precision and Recall-3vT0kSBCLdU.zh-CN.vtt

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20. Precision and Recall.html

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21. Powell Precision and Recall-QWWq77k-K_0.ar.vtt

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21. Powell Precision and Recall.html

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23. True Positives in Eigenfaces-TWGqylKdGWs.ar.vtt

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26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.ar.vtt

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29. Model Diagnostics In Python-1Z4eorbfOOc.en.vtt

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29. Screencast Model Diagnostics in Python - Part I.html

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31. Final Thoughts On Shifting To Machine Learning-YkZFjZ3Fx8A.en.vtt

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/Part 04-Module 02-Lesson 01_Analyze AB Test Results/

01. Project Details.html

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02. Quiz 1 Understanding the Dataset.html

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03. Quiz 2 Messy Data.html

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04. Quiz 3 Updated DataFrame.html

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05. Quiz 4 Probability.html

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06. Quiz 5 Hypothesis Testing.html

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07. Completing and Submitting this Project in the Classroom.html

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08. Project Workspace Complete and Submit Project.html

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09. Check Rubric.html

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Project Description - Analyze AB Test Results.html

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index.html

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/Part 05-Module 01-Lesson 01_Congratulations & Next Steps/

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/Part 06-Module 01-Lesson 01_Welcome to Term 2!/

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01. Welcome to Term 2 of the Data Analyst Nanodegree program.html

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02. Projects Term 2-jSRJblo-Ptw.ar.vtt

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02. Projects.html

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03. Meet the Team.html

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04. Program Structure and Schedule.html

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05. Learning Plan - First Two Weeks.html

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06. Introduction-fxNSn63xFvA.ar.vtt

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10. Getting Help.html

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12. Study Habits of Successful Graduates.html

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14. Your Udacity Professional Profile.html

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index.html

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/Part 06-Module 02-Lesson 01_Statistics and Programming Exercises/

01. Introduction.html

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02. Socks from a Box.html

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03. Candy Conundrum.html

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04. Football Statistics.html

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05. Paired T-test Quiz.html

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06. Effect of Management Style on Worker Speed.html

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07. Most Frequent Word.html

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index.html

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/Part 06-Module 02-Lesson 02_Test a Perceptual Phenomenon/

01. Project Overview.html

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02. Completing and Submitting this Project - Two Options.html

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03. Project Workspace Complete and Submit Project.html

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04. Final Check of Instructions.html

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Project Description - Test a Perceptual Phenomenon.html

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/Part 07-Module 01-Lesson 01_What is EDA/

01. Handoff to Chris Saden.html

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03. Go Exploring-dias-YUpewk.ar.vtt

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04. Why learn EDA-YM68DrqJw1I.ar.vtt

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05. Aude's Interest in Data-DDNSMG_RltY.ar.vtt

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07. The Growth of Televisions-GuBics_6HOk.ar.vtt

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08. Our Approach for This Course-dBsf-szQ00s.ar.vtt

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09. Aude Explores Coordinated Migration-7ihp6ofAJG8.ar.vtt

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/Part 07-Module 01-Lesson 02_R Basics/

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02. Why R.html

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03. Using Windows.html

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16. Advice for Data Scientists.html

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17. Congratulations-GxhPaVbDHnw.ar.vtt

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index.html

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/img/

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/Part 07-Module 01-Lesson 03_Explore One Variable/

01. Welcome!-cCOHhYXU6G0.ar.vtt

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01. Welcome!.html

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02. What to Do First-TgAIx_NFaD8.ar.vtt

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03. Pseudo-Facebook User Data-8FD_iOP24UA.ar.vtt

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04. Histogram of Users' Birthdays-20aUUbuzALM.ar.vtt

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05. Moira's Investigation-Mak839YmmrA.ar.vtt

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06. Estimating Your Audience Size-FfzVPWM5DZ8.ar.vtt

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07. Perceived Audience Size-zHnhKtVMhuc.ar.vtt

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08. Faceting-in2hLEl_eJU.ar.vtt

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09. Be Skeptical Outliers and Anomalies-kAisC2wRGBU.ar.vtt

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09. Be Skeptical of Outliers and Anomalies.html

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10. Moira's Outlier-Oyo2HOJstCs.ar.vtt

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11. Friend Count-GsSoLVhZPnA.ar.vtt

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12. Limiting the Axes-1W3QAzrybMk.ar.vtt

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12. Limiting the Axes.html

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13. Exploring with Bin Width-TYN_LGAV3m8.ar.vtt

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14. Adjusting the Bin Width-AY5nywPa3GI.ar.vtt

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15. Omitting NA Observations-SdYtgaZ5riY.ar.vtt

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16. Statistics 'by' Gender-GTLvqNrAETc.ar.vtt

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18. Labeling Plots-llvIDIu3Sw8.ar.vtt

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20. The Spread of Memes-B-khnSU3DfM.ar.vtt

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21. Lada's Money Bag Meme-Isa_FGQrvgs.ar.vtt

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25. Likes on the Web-nqMT8qTmQPY.ar.vtt

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29. Analyzing One Variable-oZY94XjiCvM.ar.vtt

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index.html

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/Part 07-Module 01-Lesson 04_Problem Set Explore One Variable/

01. Diamonds.html

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02. Price Histogram.html

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03. Price Histogram Summary.html

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04. Diamond Counts.html

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09. Price per Carat by Cut.html

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/Part 07-Module 01-Lesson 05_Explore Two Variables/

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22. Understanding Noise Age to Age Months.html

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23. Age with Months Means-28iU6GrDVfU.ar.vtt

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23. Age with Months Means-CuMPjPESfY0.ar.vtt

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23. Age with Months Means.html

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24. Noise in Conditional Means-GKXB5Qjlxo0.ar.vtt

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24. Noise in Conditional Means-GKXB5Qjlxo0.mp4

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24. Noise in Conditional Means-Ur01espw7ko.mp4

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24. Noise in Conditional Means.html

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25. Smoothing Conditional Means-hxk2cgdChUw.ar.vtt

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25. Smoothing Conditional Means-hxk2cgdChUw.mp4

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25. Smoothing Conditional Means.html

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26. Which Plot to Choose-pBSQI8EmhvM.ar.vtt

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26. Which Plot to Choose-pBSQI8EmhvM.en.vtt

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26. Which Plot to Choose-pBSQI8EmhvM.mp4

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26. Which Plot to Choose-pBSQI8EmhvM.pt-BR.vtt

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26. Which Plot to Choose.html

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27. Analyzing Two Variables-NRMKNuox9z0.ar.vtt

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27. Analyzing Two Variables-NRMKNuox9z0.en.vtt

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27. Analyzing Two Variables-NRMKNuox9z0.mp4

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27. Analyzing Two Variables-mZgPfxFOFRE.ar.vtt

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27. Analyzing Two Variables.html

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index.html

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/img/

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/Part 07-Module 01-Lesson 06_Problem Set Explore Two Variables/

01. price vs. x.html

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02. Findings - price vs. x.html

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03. Correlations.html

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04. price vs. depth.html

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05. Adjustments - price vs. depth.html

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06. Typical Depth Range.html

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07. Correlation - price and depth.html

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08. price vs. carat.html

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09. price vs. volume.html

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10. Findings - price vs. volume.html

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11. Correlations on Subsets.html

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12. Adjustments - price vs. volume.html

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13. Mean Price by Clarity.html

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14. Bar Charts of Mean Price.html

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15. Trends in Mean Price.html

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16. Gapminder Revisited.html

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index.html

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/Part 07-Module 01-Lesson 07_Explore Many Variables/

01. Multivariate Data-jsg6lhrJN1g.ar.vtt

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01. Multivariate Data-jsg6lhrJN1g.en.vtt

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01. Multivariate Data.html

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02. Perceived Audience Size by Age-GFKRNBnFGVU.ar.vtt

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02. Perceived Audience Size by Age-GFKRNBnFGVU.en.vtt

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02. Perceived Audience Size by Age-GFKRNBnFGVU.mp4

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02. Perceived Audience Size by Age-GFKRNBnFGVU.pt-BR.vtt

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03. Third Qualitative Variable-Q2M8xyY47fc.ar.vtt

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03. Third Qualitative Variable.html

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04. Plotting Conditional Summaries-8SqL0v_FSsc.ar.vtt

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05. Thinking in Ratios-r4ZOwz3_oXs.ar.vtt

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05. Thinking in Ratios-r4ZOwz3_oXs.en.vtt

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06. Wide and Long Format-zlaeISxRESQ.ar.vtt

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07. Reshaping Data-zQj_waidR5w.ar.vtt

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08. Ratio Plot-DclTt9xqS4s.ar.vtt

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08. Ratio Plot-gfZ7C-QBF0k.ar.vtt

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08. Ratio Plot-gfZ7C-QBF0k.mp4

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08. Ratio Plot.html

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09. Third Quantitative Variable-gpwlI9Wa8xI.ar.vtt

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09. Third Quantitative Variable.html

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10. Cut a Variable-PHJiH5WCBwg.ar.vtt

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10. Cut a Variable.html

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11. Plotting It All Together-CiS4rBbr6tw.ar.vtt

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11. Plotting It All Together-CiS4rBbr6tw.mp4

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11. Plotting It All Together-Y4rUkaYQQKI.ar.vtt

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11. Plotting It All Together-Y4rUkaYQQKI.mp4

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12. Plot the Grand Mean-pxaXkCjukGM.ar.vtt

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13. Friending Rate-J0IqMgkl1Ws.ar.vtt

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13. Friending Rate-ZO7y9tsSQ0A.ar.vtt

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13. Friending Rate-ZO7y9tsSQ0A.mp4

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13. Friending Rate.html

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14. Friendships Initiated-Keh5GwaSWdk.ar.vtt

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14. Friendships Initiated-Keh5GwaSWdk.mp4

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15. Bias Variance Trade off Revisited-CSVf96g0XGM.ar.vtt

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16. Sean's NFL Fan Sentiment Study-ahaxt6UKxQw.ar.vtt

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17. Introducing the Yogurt Dataset-5J9GxnJVo78.ar.vtt

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18. Histograms Revisited-7PyV7HxpSYA.ar.vtt

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20. Prices Over Time-DIrLvDqhjCg.ar.vtt

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20. Prices Over Time.html

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21. Sampling Observations-PsRMReOqccg.ar.vtt

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21. Sampling Observations.html

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22. Looking at Samples of Households-kQePh6UTB90.ar.vtt

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22. Looking at Samples of Households.html

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23. The Limits of Cross Sectional Data-D7m25cvqUpw.ar.vtt

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23. The Limits of Cross Sectional Data.html

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24. Many Variables-okzOTH15r3Y.ar.vtt

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24. Many Variables.html

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25. Scatterplot Matrices-ov--BE6XTZU.ar.vtt

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25. Scatterplot Matrices-w6CLWh1dLCU.ar.vtt

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25. Scatterplot Matrices.html

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26. Even More Variables-P7BHYXxu4Jg.ar.vtt

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26. Even More Variables.html

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27. Heat Maps-zSSNWZuVG8Y.ar.vtt

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27. Heat Maps-zSSNWZuVG8Y.en.vtt

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27. Heat Maps-zSSNWZuVG8Y.mp4

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27. Heat Maps.html

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28. Analyzing Three or More Variables-VUfaXWrr3oY.ar.vtt

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index.html

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/img/

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/Part 07-Module 01-Lesson 08_Problem Set Explore Many Variables/

01. Price Histograms with Facet and Color.html

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02. Price vs. Table Colored by Cut.html

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03. Typical Table Value.html

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04. Price vs. Volume and Diamond Clarity.html

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05. Proportion of Friendships Initiated.html

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06. prop_initiated vs. tenure.html

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07. Smoothing prop_initiated vs. tenure.html

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08. Greatest prop_initiated Group.html

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09. Largest Group Mean prop_initiated.html

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10. PriceCarat Binned, Faceted, Colored.html

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11. Gapminder Multivariate Analysis.html

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index.html

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/img/

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/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/

01. Welcome!-KJT4Z0xpHns.ar.vtt

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01. Welcome!.html

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02. Linear Regression Models.html

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03. Scatterplot Review-W96zaGEma7o.ar.vtt

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04. Price and Carat Relationship-b0oOWFDz9UQ.ar.vtt

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04. Price and Carat Relationship-gG4xwgj1yVA.ar.vtt

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04. Price and Carat Relationship.html

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05. Frances Gerety-GXT_vXBA0vQ.ar.vtt

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05. Frances Gerety-GXT_vXBA0vQ.mp4

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05. Frances Gerety-n9heeZ1Dw8A.mp4

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05. Frances Gerety.html

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06. The Rise of Diamonds-MD9RIDRVc-A.ar.vtt

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06. The Rise of Diamonds-MD9RIDRVc-A.mp4

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07. ggpairs Function-XUZIGbX3JIg.ar.vtt

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07. ggpairs Function.html

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08. The Demand of Diamonds-h-YgETh80h4.ar.vtt

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08. The Demand of Diamonds-h-YgETh80h4.mp4

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08. The Demand of Diamonds.html

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09. Connecting Demand and Price Distribution-Rj6g9jpX9MQ.ar.vtt

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09. Connecting Demand and Price Distribution-_HWtxJRaawA.mp4

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09. Connecting Demand and Price Distribution.html

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10. Scatterplot Transformation-h1wbEPuADz0.ar.vtt

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10. Scatterplot Transformation-h1wbEPuADz0.mp4

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10. Scatterplot Transformation.html

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11. Overplotting Revisited-AvokBc1DoEU.ar.vtt

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11. Overplotting Revisited.html

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12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.ar.vtt

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12. Plot Colors for Qualitative Factors.html

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13. Price vs. Carat and Clarity-J0Ls7F-lN4o.ar.vtt

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13. Price vs. Carat and Clarity-g88Q5qyiZxE.ar.vtt

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13. Price vs. Carat and Clarity.html

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14. Clarity and Price-UnkrtPPx9-c.ar.vtt

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14. Clarity and Price-b7oUjvNJWCc.mp4

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14. Clarity and Price.html

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15. Price vs Carat and Cut-RF9V7l00a28.ar.vtt

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15. Price vs Carat and Cut.html

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16. Cut and Price--P5lMGuVA6U.ar.vtt

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16. Cut and Price.html

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17. Price vs Carat and Color-ow70HVqX4OY.ar.vtt

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17. Price vs Carat and Color.html

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22. A Bigger, Better Data Set-q46nO0mznXM.ar.vtt

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/Part 07-Module 02-Lesson 01_Explore and Summarize Data/

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/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/

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01. Introduction.html

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03. A Definition and An Analogy.html

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24. Clean (Summary).html

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25. Reassess and Iterate.html

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26. Wrangling vs. EDA vs. ETL.html

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27. Analysis and Visualization.html

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28. Data Wrangling Summary.html

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index.html

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/Part 08-Module 02-Lesson 01_Gathering Data/

01. Introduction-XtJN72lBo94.ar.vtt

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01. Introduction.html

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02. Lesson Outline.html

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03. Dataset Finding the Best Movies.html

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03. Finding the Best Movies-aq3qM2EkwrI.ar.vtt

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04. Navigating Your Working Directory and File IO.html

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05. Source Files On Hand-PjP-EaeXTiY.ar.vtt

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06. Flat File Structure-bLKVRIhrZUY.ar.vtt

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08. Scraping Webpages -bAeGbBBAIkE.ar.vtt

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09. HTML File Structure -4ef_Dr_SXTw.ar.vtt

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15. Source APIs (Application Programming Interfaces) 2-tobH58uO24U.ar.vtt

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16. JSON File Structure-hO2CayzZBoA.ar.vtt

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18. Mashup APIs, Downloading Files Programmatically, JSON.html

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19. Mashup Solution.html

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20. Flashforward 2-Sbyn8aT-8G8.ar.vtt

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21. Storing Data-hcosH34b-yw.ar.vtt

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22. How Databases Store Data-H0C9z_sRvLE.ar.vtt

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22. Relational Database Structure.html

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22. SELECT FROM Statements-urOYuuav4BY.ar.vtt

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22. Why Businesses Choose Databases-j4ey7--h9r8.ar.vtt

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22. Why Do Analysts Like SQL-uCNOtUht2Xc.ar.vtt

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23. Relational Databases in Python.html

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24. Other File Formats.html

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25. You Can Iterate-QsJqoJYhTiw.ar.vtt

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26. Gathering Summary.html

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/Part 08-Module 03-Lesson 01_Assessing Data/

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02. Lesson Outline.html

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03. Dataset Oral Insulin Clinical Trial Data-R-HT78SPxpE.ar.vtt

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04. Unclean Data Dirty Messy -WG6mil60jq0.ar.vtt

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06. Assessment Types vs. Steps.html

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07. Visual Assessment -GVVibuIg3Ro.ar.vtt

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08. Visual Assessment Acquaint Yourself.html

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10. Assessing Vs Exploring V2 -hVFZ6jFKOso.ar.vtt

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12. Data Quality Dimensions 1-5UYGvKDsd-M.ar.vtt

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14. Programatic Assessment -Bk_Ve3-4eps.ar.vtt

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17. Tidiness Visual Assessment -BNRJdhA8_s8.ar.vtt

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18. Tidiness Programmatic Assessment.html

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19. How Data Gets Dirty and Messy.html

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20. You Can Iterate!.html

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21. Assessing Summary.html

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22. Conclusion.html

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22. Outro -lfWT0kLfe8c.ar.vtt

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index.html

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/img/

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/Part 08-Module 04-Lesson 01_Cleaning Data/

01. Introduction -rkRn1Nh-6lg.ar.vtt

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01. Introduction -rkRn1Nh-6lg.mp4

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01. Introduction.html

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02. Lesson Outline.html

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03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.ar.vtt

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03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.mp4

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03. Dataset Oral Insulin Phase II Clinical Trial Data.html

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04. Manual Vs Programmatic Cleaning -AQFBVQy_HyY.ar.vtt

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04. Manual vs. Programmatic Cleaning.html

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05. Data Cleaning Process -BS_p9kwMEMk.ar.vtt

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05. Data Cleaning Process.html

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06. Cleaning Sequences.html

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07. Quiz and Solution Notebooks.html

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08. Address Missing Data First.html

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08. Addressing Missing Data First -ArAGZCUMj9Q.ar.vtt

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09. Quiz Missing Data.html

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10. Solution Missing Data.html

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11. Cleaning For Tidiness -6nMKFhpVCRU.ar.vtt

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11. Cleaning for Tidiness.html

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12. Quiz Tidiness.html

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13. Solution Tidiness.html

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14. Cleaning For Quallity -qyixEwMRtWA.ar.vtt

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14. Cleaning for Quality.html

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15. Quiz Quality.html

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16. Solution Quality.html

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17. Flashforward-rfMu3f9O9hQ.ar.vtt

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18. You Can Iterate -CDRmFJHywp8.ar.vtt

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18. You Can Iterate.html

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19. Cleaning Summary.html

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20. Conclusion -d_nKtLo5WYA.ar.vtt

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index.html

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/img/

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/Part 08-Module 05-Lesson 01_Wrangle and Analyze Data/

01. Project Overview.html

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02. Project Motivation.html

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03. Project Details.html

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04. Twitter API.html

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05. Project Workspace Complete and Submit Project.html

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Project Description - Wrangle and Analyze Data.html

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Project Rubric - Wrangle and Analyze Data.html

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index.html

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/img/

dog-pred.png

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dog-rates-social.jpg

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dogtionary-combined.png

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screenshot-2017-10-10-18.19.36.png

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/Part 09-Module 01-Lesson 01_Introduction to Data Visualization/

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02. Why Do We Use Data Visualizations-iiOP4PE46f4.ar.vtt

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03. Motivation for Data Visualization.html

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04. Further Motivation-sjGxUKrbKoI.ar.vtt

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05. Data Types Review-xzZZZCZk5YM.ar.vtt

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06. Identifying Data Types.html

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07. Univariate Plots-kgmYLreYB0A.ar.vtt

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07. Univariate Plots.html

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08. Univariate Plots.html

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09. Scatter Plots -DvlxZ37O4i8.ar.vtt

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09. Scatter Plots.html

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10. Quizzes On Scatter Plots.html

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11. Correlation Coefficients-rL5Bn8Fi-zE.ar.vtt

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11. Correlation Coefficients.html

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12. Correlation Coefficient Quizzes.html

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13. Line Plots-GsaBT47pjgQ.ar.vtt

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14. What is the Question-xQJyObqxg3E.ar.vtt

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15. What About More Than Two Variables -ufKcdUbLj9c.ar.vtt

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15. What About with More Than Two Variables.html

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16. Multiple Variables Quiz.html

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17. Why Data Dashboards-8ni2lCqAVvQ.ar.vtt

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17. Why Data Dashboards.html

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18. Introduction to Data Dashboards.html

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19. Quiz On Visual Encodings.html

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20. Recap.html

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21. What's Next-AwpX6HkhL0k.ar.vtt

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index.html

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/img/

natgeo-scatter.jpg

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/Part 09-Module 01-Lesson 02_Design/

01. Introduction-Q0lZkNF6O0g.ar.vtt

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01. Introduction.html

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02. Lesson Overview-Gg77PqkQkhs.ar.vtt

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02. Lesson Overview.html

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03. Exploratory vs. Explanatory Analyses.html

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04. Quiz Exploratory vs. Explanatory.html

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05. What Makes a Bad Visual-zbvB_9f7bFs.ar.vtt

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06. What Experts Say About Visual Encodings-98aog0eVcC4.ar.vtt

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07. Chart Junk-3BTBEYOG2o8.ar.vtt

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07. Chart Junk.html

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08. Data Ink Ratio-gW2FapuYV4A.ar.vtt

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09. Design Integrity-y72_fVFtqlY.ar.vtt

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09. Design Integrity.html

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10. Bad Visual Quizzes (Part I).html

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11. Bad Visual Quizzes (Part II).html

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12. Text Effective Explanatory Visual Recap.html

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13. Using Color-6bAedqD3ilw.en.vtt

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13. Using Color.html

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14. Designing for Color Blindness-k4iTzS7t2U4.ar.vtt

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15. Shape, Size, Other Tools.html

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/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/

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/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/

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/Part 09-Module 02-Lesson 01_Create a Tableau Story/

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index.html

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/img/

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/Part 10-Module 01-Lesson 01_Congratulations & Next Steps/

01. Congratulations!.html

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02. DSND Trailer Final-X2xQnb-bR8A.mp4

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02. Next Steps.html

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03. Projects.html

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04. What's Next in Your Journey!.html

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index.html

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/Part 11-Module 01-Lesson 01_What is Version Control/

01. Gitfinal L1 01 Welcome-lbR82UD5F0c.ar.vtt

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01. What is Version Control.html

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02. Version Control In Daily Use.html

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04. MacLinux Setup.html

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05. Windows Setup.html

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/Part 11-Module 01-Lesson 02_Create A Git Repo/

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01. Intro.html

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02. Create A Repo From Scratch.html

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03. Clone An Existing Repo.html

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04. Determine A Repo's Status.html

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/Part 11-Module 01-Lesson 03_Review a Repo's History/

01. A Repository's History - Intro-UBmg3syQS0E.ar.vtt

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01. Intro.html

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02. Displaying A Repository's Commits.html

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02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.ar.vtt

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03. Changing How Git Log Displays Information.html

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04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.ar.vtt

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04. Viewing Modified Files.html

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05. Viewing File Changes.html

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07. Outro.html

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/Part 11-Module 01-Lesson 04_Add Commits To A Repo/

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01. Intro.html

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02. Git Add.html

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03. Git Commit.html

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04. Commit Messages.html

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/img/

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/Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/

01. Intro.html

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02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.ar.vtt

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02. Tagging.html

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03. Branching.html

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04. Branching Effectively.html

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05. Merging.html

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06. Merge Conflicts.html

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/Part 11-Module 01-Lesson 06_Undoing Changes/

01. Intro.html

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02. Modifying The Last Commit.html

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03. Reverting A Commit.html

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04. Resetting Commits.html

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/Part 12-Module 01-Lesson 01_GitHub Review/

01. Introduction-Vnj2VNQROtI.ar.vtt

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01. Introduction-Vnj2VNQROtI.mp4

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01. Introduction.html

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02. GitHub profile important items-prvPVTjVkwQ.ar.vtt

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02. GitHub profile important items.html

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08. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt

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09. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt

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15. Starring interesting repositories-U3FUxkm1MxI.ar.vtt

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16. Outro-dps7Ti6Lado.en.vtt

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/Part 13-Module 01-Lesson 01_Develop Your Personal Brand/

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/Part 13-Module 01-Lesson 02_LinkedIn Review/

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/Part 13-Module 01-Lesson 03_Udacity Professional Profile/

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/Part 14-Module 01-Lesson 01_Conduct a Job Search/

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03. Target Your Application to An Employer-X9JBzbrkcvs.en.vtt

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/Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/

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/Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/

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/Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/

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/Part 14-Module 03-Lesson 01_Craft Your Cover Letter/

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04. Write the Introduction.html

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/Part 15-Module 01-Lesson 01_Ace Your Interview/

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/Part 15-Module 01-Lesson 02_Practice Behavioral Questions/

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05. What Motivates You at the Workplace-Aa9SFwiRbho.en.vtt

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06. A Problem and How You Dealt With It-7IKqdW30GvQ.en.vtt

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07. What Do You Know About the Company-CcTfHemUvbM.en.vtt

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/Part 15-Module 01-Lesson 03_Interview Fails/

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04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.en.vtt

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/Part 15-Module 01-Lesson 04_Land a Job Offer/

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/Part 15-Module 01-Lesson 05_Interview Practice/

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02. Quiz Analyzing an Interview.html

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04. Query a SQL database-UVSFLWdAKl4.en-US.vtt

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05. Maximum Difference in an Integer Array-R9AtVBq2Z5E.en.vtt

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06. Design a Spam Classifier-Uy89Ff49pRc.en.vtt

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07. Jimmy's Analysis of the Interview-wg535YU4jFw.en.vtt

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08. Keep Practicing!.html

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/Part 15-Module 02-Lesson 01_Introduction and Efficiency/

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10. Worst Case and Approximation-ZYcmui02J40.en-US.vtt

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/Part 15-Module 02-Lesson 02_List-Based Collections/

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/Part 15-Module 02-Lesson 03_Searching and Sorting/

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/Part 15-Module 02-Lesson 04_Maps and Hashing/

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/Part 15-Module 02-Lesson 05_Trees/

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/Part 15-Module 02-Lesson 06_Graphs/

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/Part 15-Module 02-Lesson 07_Case Studies in Algorithms/

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index.html

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/Part 15-Module 02-Lesson 08_Technical Interview - Python/

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02. Clarifying the Question-XvvKBmKC_84.en-US.vtt

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11. Time for Live Practice with Pramp.html

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Project Description - Technical Interview Practice.html

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index.html

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/img/

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/Part 16-Module 01-Lesson 01_Welcome to Machine Learning/

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/Part 16-Module 01-Lesson 02_Naive Bayes/

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17. Getting Started With sklearn-olGPVtH7KGU.ar.vtt

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31. Bayes Rule for Classification-oNTklG8dh-0.ar.vtt

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31. Bayes Rule for Classification.html

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33. Posterior Probabilities.html

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34. Bayesian Probabilities On Your Own-2StCBxTOoK0.ar.vtt

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34. Bayesian Probabilities On Your Own.html

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35. Why Is Naive Bayes Naive-Bw6sYY84cYg.ar.vtt

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35. Why Is Naive Bayes Naive.html

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36. Naive Bayes Strengths and Weaknesses-nfbKTrufPOs.ar.vtt

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36. Naive Bayes Strengths and Weaknesses.html

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37. Congrats on Learning Naive Bayes-nQsYfzO7-00.ar.vtt

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38. Naive Bayes Mini-Project Video-UH2oSijkszo.ar.vtt

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38. Naive Bayes Mini-Project Video.html

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39. Getting Started with Mini-Projects.html

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40. Machine Learning for Author ID.html

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index.html

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/Part 16-Module 01-Lesson 03_SVM/

01. Welcome to SVM-gnAmmyQ_ZcQ.ar.vtt

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02. Separating Line-NTm_mA4akP4.ar.vtt

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04. What Makes A Good Separating Line-cwjvMYPB1Fk.ar.vtt

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06. SVMs and Tricky Data Distributions-wbCq7wm81BU.ar.vtt

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09. Handoff to Katie-GkqOdgZnkig.ar.vtt

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10. SVM in SKlearn-R7xQtQzkvTk.ar.vtt

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12. Coding Up the SVM-2ieszOqnpWs.ar.vtt

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13. Nonlinear SVMs-6UgInp_gf1w.ar.vtt

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14. Nonlinear Data.html

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15. A New Feature-8TqVHRan4Fo.ar.vtt

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17. Separating with the New Feature--_jNi_5zEEQ.ar.vtt

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18. Practice Making a New Feature-MXXTeWLXliY.ar.vtt

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19. Kernel Trick-3Xw6FKYP7e4.ar.vtt

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20. Playing Around with Kernel Choices-krV6r7HxmZU.ar.vtt

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21. Kernel and Gamma-pH51jLfGXe0.ar.vtt

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21. Kernel and Gamma.html

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22. SVM C Parameter-WVg5-vxQDm8.ar.vtt

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22. SVM C Parameter-joTa_FeMZ2s.mp4

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22. SVM C Parameter.html

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23. SVM Gamma Parameter-m2a2K4lprQw.ar.vtt

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23. SVM Gamma Parameter-m2a2K4lprQw.mp4

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23. SVM Gamma Parameter.html

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24. Overfitting-CxAxRCv9WoA.ar.vtt

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24. Overfitting-CxAxRCv9WoA.mp4

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24. Overfitting.html

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25. SVM Strengths and Weaknesses-U9-ZsbaaGAs.ar.vtt

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25. SVM Strengths and Weaknesses.html

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26. SVM Mini-Project Video-mENzEtsiOmI.ar.vtt

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26. SVM Mini-Project Video.html

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27. SVM Mini-Project.html

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28. SVM Author ID Accuracy.html

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29. SVM Author ID Timing.html

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30. A Smaller Training Set.html

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31. Speed-Accuracy Tradeoff.html

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32. Deploy an RBF Kernel.html

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33. Optimize C Parameter.html

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34. Accuracy after Optimizing C.html

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35. Optimized RBF vs. Linear SVM Accuracy.html

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36. Extracting Predictions from an SVM.html

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37. How Many Chris Emails Predicted.html

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38. Final Thoughts on Deploying SVMs.html

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index.html

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/Part 16-Module 01-Lesson 04_Decision Trees/

01. Welcome To Decision Trees-5eAHVk1-Hz0.ar.vtt

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01. Welcome To Decision Trees.html

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02. Linearly Separable Data-YNfxSsQT78Y.ar.vtt

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02. Linearly Separable Data.html

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03. Multiple Linear Questions-p_xPoBRJdtE.ar.vtt

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03. Multiple Linear Questions-p_xPoBRJdtE.mp4

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03. Multiple Linear Questions-t1Y-nzgI1L4.mp4

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03. Multiple Linear Questions.html

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04. Constructing a Decision Tree First Split-GMe5JT2_oUE.ar.vtt

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32. Tuning Criterion Parameter-V80QLNK5fFQ.ar.vtt

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33. Bias-Variance Dilemma-W5uUYnSHDhM.ar.vtt

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34. DT Strengths and Weaknesses-KGnhg76iRfI.ar.vtt

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35. Decision Tree Mini-Project Video-eFjeXiC0KHA.ar.vtt

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37. Your First Email DT Accuracy.html

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38. Speeding Up Via Feature Selection 1.html

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39. Changing the Number of Features.html

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40. SelectPercentile and Complexity.html

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41. Accuracy Using 1 of Features.html

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index.html

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/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/

01. Choose Your own Algorithm-tpbHNLv-HT0.ar.vtt

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02. Why Study a New Algorithm Solo.html

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04. Algorithm Options-S-cGZ-FEdjQ.ar.vtt

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06. Choose-Your-Own Algorithm Checklist.html

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08. Can You Beat Our High Score.html

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10. Welcome to the end of the lesson-nWFJ_eOU27I.ar.vtt

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/Part 16-Module 01-Lesson 06_Datasets and Questions/

01. Introduction-TdopVWltgqM.ar.vtt

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01. Introduction.html

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02. What Is A POI-wDQhif-MWuY.ar.vtt

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02. What Is A POI.html

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03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.ar.vtt

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04. Downloading Enron Data-TgkBAtaTqJk.ar.vtt

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05. Types of Data Quiz 1-YZb-Uam-Ics.ar.vtt

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11. Enron Dataset Mini-Project Video-0zGp5er3fy4.ar.vtt

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11. Enron Dataset Mini-Project Video-0zGp5er3fy4.mp4

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11. Enron Dataset Mini-Project Video.html

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12. Datasets and Questions Mini-Project.html

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13. Size of the Enron Dataset.html

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14. Features in the Enron Dataset.html

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15. Finding POIs in the Enron Data.html

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16. How Many POIs Exist.html

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17. Problems with Incomplete Data.html

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18. Query the Dataset 1.html

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19. Query the Dataset 2.html

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20. Query the Dataset 3.html

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21. Research the Enron Fraud.html

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22. Enron CEO.html

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23. Enron Chairman.html

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24. Enron CFO.html

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25. Follow the Money.html

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26. Unfilled Features.html

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27. Dealing with Unfilled Features.html

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28. Dict-to-array conversion.html

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29. Missing POIs 1 (optional).html

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35. Mixing Data Sources (optional).html

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/Part 16-Module 01-Lesson 07_Regressions/

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