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Download Udacity - Business Analyst nd008 v3.0.0

Udacity Business Analyst nd008 v3

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Udacity - Business Analyst nd008 v3.0.0

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/Part 01-Module 02-Lesson 02_Selecting an Analytical Methodology/

13. Lesson Summary-RrcV-axGxvA.zh-CN.vtt

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13. Lesson Summary-RrcV-axGxvA.en.vtt

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13. Lesson Summary-RrcV-axGxvA.pt-BR.vtt

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04. predictive problems-r8EOv8M0-x4.zh-CN.vtt

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02. Segmentation Business Problems-QDg048qSR-k.zh-CN.vtt

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04. predictive problems-r8EOv8M0-x4.en.vtt

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02. Segmentation Business Problems-QDg048qSR-k.en.vtt

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04. predictive problems-r8EOv8M0-x4.pt-BR.vtt

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02. Segmentation Business Problems-QDg048qSR-k.pt-BR.vtt

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02. Descriptive--d2We-HAx-g.zh-CN.vtt

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06. Data Rich Business Problems-LkpkL7KmGLA.zh-CN.vtt

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02. Descriptive--d2We-HAx-g.en.vtt

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02. Nd008 Ud976 P1 L2 A02 L Non-Predictive Business Problems-S-rnJ5BChAQ.zh-CN.vtt

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02. Aggregation-TUQgSOoYIjk.zh-CN.vtt

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02. Nd008 Ud976 P1 L2 A02 L Non-Predictive Business Problems-S-rnJ5BChAQ.en.vtt

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02. Descriptive--d2We-HAx-g.pt-BR.vtt

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05. Data Poor Business Problems-ftNtrbQgFpM.zh-CN.vtt

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06. Data Rich Business Problems-LkpkL7KmGLA.en.vtt

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04. Introduction to Predictive Business Problems-vwmTj4goI30.zh-CN.vtt

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02. Aggregation-TUQgSOoYIjk.en.vtt

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05. Data Poor Business Problems-ftNtrbQgFpM.en.vtt

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06. Data Rich Business Problems-LkpkL7KmGLA.pt-BR.vtt

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02. Nd008 Ud976 P1 L2 A02 L Non-Predictive Business Problems-S-rnJ5BChAQ.pt-BR.vtt

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04. Introduction to Predictive Business Problems-vwmTj4goI30.en.vtt

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02. Aggregation-TUQgSOoYIjk.pt-BR.vtt

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05. Data Poor Business Problems-ftNtrbQgFpM.pt-BR.vtt

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04. Introduction to Predictive Business Problems-vwmTj4goI30.pt-BR.vtt

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10. Introduction To Non-Numeric Models-lC7mxzS4L24.zh-CN.vtt

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01. Selecting an Analytical Methodology-bdHtEIHKfAo.zh-CN.vtt

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07. Numeric Non-Numeric Outcomes-cAIPn6YRPc0.zh-CN.vtt

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10. Introduction To Non-Numeric Models-lC7mxzS4L24.en.vtt

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01. Selecting an Analytical Methodology-bdHtEIHKfAo.en.vtt

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01. Selecting an Analytical Methodology-bdHtEIHKfAo.pt-BR.vtt

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07. Numeric Non-Numeric Outcomes-cAIPn6YRPc0.pt-BR.vtt

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07. Numeric Non-Numeric Outcomes-cAIPn6YRPc0.en.vtt

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10. Introduction To Non-Numeric Models-lC7mxzS4L24.pt-BR.vtt

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09. Introduction To Numeric Models-Mqdn4lHyvrI.zh-CN.vtt

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09. Introduction To Numeric Models-Mqdn4lHyvrI.en.vtt

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09. Introduction To Numeric Models-Mqdn4lHyvrI.pt-BR.vtt

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index.html

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13. Lesson Summary.html

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05. Data Poor Business Problems.html

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01. Selecting an Analytical Methodology.html

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06. Data Rich Business Problems.html

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10. Introduction to Non-Numeric Models.html

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09. Introduction to Numeric Models.html

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07. Numeric Non-Numeric Outcomes.html

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04. Predictive Business Problems.html

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08. Numeric or Classification Quiz.html

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02. Non-Predictive Business Problems.html

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11. Determining Appropriate Models Quiz.html

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03. Classifying Business Problems.html

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12. Model Selection Assessment .html

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04. predictive problems-r8EOv8M0-x4.mp4

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02. Segmentation Business Problems-QDg048qSR-k.mp4

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06. Data Rich Business Problems-LkpkL7KmGLA.mp4

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05. Data Poor Business Problems-ftNtrbQgFpM.mp4

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02. Descriptive--d2We-HAx-g.mp4

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02. Nd008 Ud976 P1 L2 A02 L Non-Predictive Business Problems-S-rnJ5BChAQ.mp4

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02. Aggregation-TUQgSOoYIjk.mp4

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13. Lesson Summary-RrcV-axGxvA.mp4

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07. Numeric Non-Numeric Outcomes-cAIPn6YRPc0.mp4

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01. Selecting an Analytical Methodology-bdHtEIHKfAo.mp4

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04. Introduction to Predictive Business Problems-vwmTj4goI30.mp4

7.4 MB

09. Introduction To Numeric Models-Mqdn4lHyvrI.mp4

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10. Introduction To Non-Numeric Models-lC7mxzS4L24.mp4

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/Part 10-Module 01-Lesson 05_Deeper into SQL/

13. Trying Out DB API-QTq9pGMoZAE.zh-CN.vtt

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13. Trying Out DB API-QTq9pGMoZAE.en.vtt

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13. Trying Out DB API-QTq9pGMoZAE.pt-BR.vtt

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19. Outro-q7a9w02Uepw.pt-BR.vtt

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13. Trying Out DB API-QTq9pGMoZAE.ar.vtt

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19. Outro-q7a9w02Uepw.en.vtt

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19. Outro-q7a9w02Uepw.en-US.vtt

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19. Outro-q7a9w02Uepw.zh-CN.vtt

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07. Primary Keys-P1NzBPnfl2E.zh-CN.vtt

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10. Self JOINs-dHS0BtLFTSQ.zh-CN.vtt

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07. Primary Keys-P1NzBPnfl2E.en.vtt

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07. Primary Keys-P1NzBPnfl2E.pt-BR.vtt

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13. Trying Out DB API-4Ywln5AT6Hc.zh-CN.vtt

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18. VIEWs-omL8MVZjLts.zh-CN.vtt

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01. Intro to Creating Tables-mIIL-p2gaK4.zh-CN.vtt

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18. VIEWs-omL8MVZjLts.en.vtt

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01. Intro to Creating Tables-mIIL-p2gaK4.en.vtt

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13. Trying Out DB API-4Ywln5AT6Hc.en.vtt

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18. VIEWs-omL8MVZjLts.pt-BR.vtt

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17. One Query, Not Two-n7v-y8UrVJ0.zh-CN.vtt

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07. Primary Keys-P1NzBPnfl2E.ar.vtt

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01. Intro to Creating Tables-mIIL-p2gaK4.pt-BR.vtt

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17. One Query, Not Two-n7v-y8UrVJ0.en.vtt

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15. Inserts in DB API-RfYFqGPxMQM.zh-CN.vtt

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13. Trying Out DB API-4Ywln5AT6Hc.pt-BR.vtt

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10. Self JOINs-dHS0BtLFTSQ.ar.vtt

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17. One Query, Not Two-n7v-y8UrVJ0.pt-BR.vtt

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15. Inserts in DB API-RfYFqGPxMQM.en.vtt

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17. One Query, Not Two-_c_chcNiHyo.zh-CN.vtt

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15. Inserts in DB API-RfYFqGPxMQM.pt-BR.vtt

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06. CREATE and DROP databases-3kycKkbQK6A.zh-CN.vtt

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06. CREATE and DROP databases-3kycKkbQK6A.pt-BR.vtt

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06. CREATE and DROP databases-3kycKkbQK6A.en.vtt

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13. Trying Out DB API-4Ywln5AT6Hc.ar.vtt

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17. One Query, Not Two-_c_chcNiHyo.en.vtt

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01. Intro to Creating Tables-mIIL-p2gaK4.ar.vtt

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18. VIEWs-omL8MVZjLts.ar.vtt

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09. Foreign Keys-mFPq74OMkKk.zh-CN.vtt

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17. One Query, Not Two-_c_chcNiHyo.pt-BR.vtt

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10. Self JOINs-P1aYwQhPnPQ.zh-CN.vtt

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09. Foreign Keys-mFPq74OMkKk.en.vtt

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04. What's Normalized-T_LpzJl-EVE.zh-CN.vtt

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10. Self JOINs-P1aYwQhPnPQ.en.vtt

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10. Self JOINs-P1aYwQhPnPQ.pt-BR.vtt

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09. Foreign Keys-mFPq74OMkKk.pt-BR.vtt

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17. One Query, Not Two-n7v-y8UrVJ0.ar.vtt

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04. What's Normalized-T_LpzJl-EVE.en.vtt

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04. What's Normalized-T_LpzJl-EVE.pt-BR.vtt

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15. Inserts in DB API-RfYFqGPxMQM.ar.vtt

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17. One Query, Not Two-_c_chcNiHyo.ar.vtt

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05. CREATE TABLE and Types-7DCw86WMpYo.zh-CN.vtt

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05. CREATE TABLE and Types-7DCw86WMpYo.en.vtt

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02. Normalized Design Part One-LQq5F77ANiY.zh-CN.vtt

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05. CREATE TABLE and Types-7DCw86WMpYo.pt-BR.vtt

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12. What's a DB-API-06LsRU4pmkA.zh-CN.vtt

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16. Subqueries-YWZ-bgnZWaM.zh-CN.vtt

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15. Inserts in DB API-pn3MunHovMc.zh-CN.vtt

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12. What's a DB-API-06LsRU4pmkA.en.vtt

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09. Foreign Keys-mFPq74OMkKk.ar.vtt

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16. Subqueries-YWZ-bgnZWaM.en.vtt

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02. Normalized Design Part One-LQq5F77ANiY.en.vtt

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18. VIEWs-t_ZSrov187k.zh-CN.vtt

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12. What's a DB-API-06LsRU4pmkA.pt-BR.vtt

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10. Self JOINs-P1aYwQhPnPQ.ar.vtt

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04. What's Normalized-T_LpzJl-EVE.ar.vtt

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15. Inserts in DB API-pn3MunHovMc.en.vtt

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16. Subqueries-YWZ-bgnZWaM.pt-BR.vtt

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15. Inserts in DB API-pn3MunHovMc.pt-BR.vtt

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18. VIEWs-t_ZSrov187k.en.vtt

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02. Normalized Design Part One-LQq5F77ANiY.pt-BR.vtt

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18. VIEWs-t_ZSrov187k.pt-BR.vtt

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07. Primary Keys-AaLIKufl_mY.zh-CN.vtt

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04. What's Normalized-f1fz9cLnetM.zh-CN.vtt

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15. Inserts in DB API-pn3MunHovMc.ar.vtt

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07. Primary Keys-AaLIKufl_mY.en.vtt

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04. What's Normalized-f1fz9cLnetM.en.vtt

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02. Normalized Design Part One-LQq5F77ANiY.ar.vtt

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04. What's Normalized-f1fz9cLnetM.pt-BR.vtt

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18. VIEWs-t_ZSrov187k.ar.vtt

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07. Primary Keys-AaLIKufl_mY.pt-BR.vtt

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08. Declaring Relationships-1FjqstT1faI.zh-CN.vtt

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09. Foreign Keys-fnbLMcd0FGQ.zh-CN.vtt

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08. Declaring Relationships-1FjqstT1faI.en.vtt

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09. Foreign Keys-fnbLMcd0FGQ.en.vtt

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14. Writing Code with DB API-Zd0PAgb6vY4.zh-CN.vtt

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08. Declaring Relationships-1FjqstT1faI.pt-BR.vtt

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03. Normalized Design Part Two-l6SDnhM7B_k.zh-CN.vtt

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09. Foreign Keys-fnbLMcd0FGQ.pt-BR.vtt

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14. Writing Code with DB API-Zd0PAgb6vY4.en.vtt

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04. What's Normalized-f1fz9cLnetM.ar.vtt

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14. Writing Code with DB API-Zd0PAgb6vY4.pt-BR.vtt

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07. Primary Keys-AaLIKufl_mY.ar.vtt

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03. Normalized Design Part Two-l6SDnhM7B_k.en.vtt

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03. Normalized Design Part Two-l6SDnhM7B_k.pt-BR.vtt

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08. Declaring Relationships-1FjqstT1faI.ar.vtt

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09. Foreign Keys-fnbLMcd0FGQ.ar.vtt

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index.html

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14. Writing Code with DB API-Zd0PAgb6vY4.ar.vtt

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03. Normalized Design Part Two-l6SDnhM7B_k.ar.vtt

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16. Subqueries.html

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12. What's a DB-API.html

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19. Outro.html

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05. CREATE TABLE and Types.html

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06. CREATE and DROP databases.html

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08. Declaring Relationships.html

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01. Intro to Creating Tables.html

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14. Writing Code with DB API.html

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02. Normalized Design Part One.html

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03. Normalized Design Part Two.html

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18. VIEWs.html

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15. Inserts in DB API.html

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07. Primary Keys.html

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10. Self JOINs.html

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17. One Query, Not Two.html

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13. Trying Out DB API.html

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09. Foreign Keys.html

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04. What's Normalized.html

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11. Counting What Isn't There.html

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13. Trying Out DB API-QTq9pGMoZAE.mp4

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10. Self JOINs-dHS0BtLFTSQ.mp4

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15. Inserts in DB API-RfYFqGPxMQM.mp4

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18. VIEWs-omL8MVZjLts.mp4

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13. Trying Out DB API-4Ywln5AT6Hc.mp4

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17. One Query, Not Two-n7v-y8UrVJ0.mp4

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06. CREATE and DROP databases-3kycKkbQK6A.mp4

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07. Primary Keys-P1NzBPnfl2E.mp4

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17. One Query, Not Two-_c_chcNiHyo.mp4

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05. CREATE TABLE and Types-7DCw86WMpYo.mp4

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12. What's a DB-API-06LsRU4pmkA.mp4

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15. Inserts in DB API-pn3MunHovMc.mp4

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19. Outro-q7a9w02Uepw.mp4

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16. Subqueries-YWZ-bgnZWaM.mp4

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10. Self JOINs-P1aYwQhPnPQ.mp4

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02. Normalized Design Part One-LQq5F77ANiY.mp4

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18. VIEWs-t_ZSrov187k.mp4

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01. Intro to Creating Tables-mIIL-p2gaK4.mp4

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07. Primary Keys-AaLIKufl_mY.mp4

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14. Writing Code with DB API-Zd0PAgb6vY4.mp4

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08. Declaring Relationships-1FjqstT1faI.mp4

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04. What's Normalized-T_LpzJl-EVE.mp4

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03. Normalized Design Part Two-l6SDnhM7B_k.mp4

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09. Foreign Keys-mFPq74OMkKk.mp4

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04. What's Normalized-f1fz9cLnetM.mp4

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09. Foreign Keys-fnbLMcd0FGQ.mp4

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/Part 11-Module 01-Lesson 01_Data Visualization Fundamentals/

21. Visualization design -TTGYKv5Qta0.zh-CN.vtt

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21. Visualization design -TTGYKv5Qta0.en.vtt

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21. Visualization design -TTGYKv5Qta0.pt-BR.vtt

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03. Why Even Create Graphics - Data Visualization and D3.js-lqI3LFwMVUc.zh-CN.vtt

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03. Why Even Create Graphics - Data Visualization and D3.js-lqI3LFwMVUc.pt-BR.vtt

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03. Why Even Create Graphics - Data Visualization and D3.js-lqI3LFwMVUc.en.vtt

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01. Introduction to Data Visualization-MUZXLvBI2sw.zh-CN.vtt

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01. Introduction to Data Visualization-MUZXLvBI2sw.en.vtt

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03. Anscombe’s Quartet-Ftp3mmItV-k.zh-CN.vtt

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08. Rankings of Visual Encodings - Data Visualization and D3.js-ycsXqX7T80Y.zh-CN.vtt

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03. Why Even Create Graphics - Data Visualization and D3.js-lqI3LFwMVUc.ar.vtt

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03. Anscombe’s Quartet-Ftp3mmItV-k.en.vtt

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01. Introduction to Data Visualization-MUZXLvBI2sw.pt-BR.vtt

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08. Rankings of Visual Encodings - Data Visualization and D3.js-ycsXqX7T80Y.en.vtt

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01. Introduction to Data Visualization-MUZXLvBI2sw.ar.vtt

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08. Rankings of Visual Encodings - Data Visualization and D3.js-ycsXqX7T80Y.pt-BR.vtt

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03. Anscombe’s Quartet-Ftp3mmItV-k.ar.vtt

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08. Rankings of Visual Encodings - Data Visualization and D3.js-ycsXqX7T80Y.ar.vtt

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05. Data Types - Data Visualization and D3.js-ZqRIS9etBqY.zh-CN.vtt

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05. Data Types - Data Visualization and D3.js-ZqRIS9etBqY.en.vtt

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05. Data Types - Data Visualization and D3.js-ZqRIS9etBqY.pt-BR.vtt

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07. Visual Encodings - Data Visualization and D3.js-14FJU1kP6-M.zh-CN.vtt

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index.html

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07. Visual Encodings - Data Visualization and D3.js-14FJU1kP6-M.en.vtt

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05. Data Types - Data Visualization and D3.js-ZqRIS9etBqY.ar.vtt

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07. Visual Encodings - Data Visualization and D3.js-14FJU1kP6-M.pt-BR.vtt

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21. Visualization design.html

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12. Post Lesson Quiz.html

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16. Question 4.html

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01. Data Visualization Introduction.html

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02. Heads Up.html

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13. Question 1.html

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07. Visual Encodings - Data Visualization and D3.js-14FJU1kP6-M.ar.vtt

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14. Question 2.html

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20. Question 8.html

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19. Question 7.html

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18. Question 6.html

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11. Spectrum of Data Viz Tools.html

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15. Question 3.html

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17. Question 5.html

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08. Rankings of Visual Encodings.html

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09. The Facebook Offering.html

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05. Data Types.html

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03. Why use data visualization.html

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04. Good vs. Bad Data Viz Examples.html

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07. Visual Encodings.html

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06. Identifying Data Types.html

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10. Exploration vs Explanation.html

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03. Anscombe’s Quartet-Ftp3mmItV-k.mp4

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21. Visualization design -TTGYKv5Qta0.mp4

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03. Why Even Create Graphics - Data Visualization and D3.js-lqI3LFwMVUc.mp4

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08. Rankings of Visual Encodings - Data Visualization and D3.js-ycsXqX7T80Y.mp4

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01. Introduction to Data Visualization-MUZXLvBI2sw.mp4

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07. Visual Encodings - Data Visualization and D3.js-14FJU1kP6-M.mp4

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05. Data Types - Data Visualization and D3.js-ZqRIS9etBqY.mp4

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/Part 03-Module 01-Lesson 02_Design/

22. Onwards!-i-ulsdVHhCc.zh-CN.vtt

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22. Onwards!-i-ulsdVHhCc.ar.vtt

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01. Introduction-Q0lZkNF6O0g.zh-CN.vtt

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02. Lesson Overview-Gg77PqkQkhs.zh-CN.vtt

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01. Introduction-Q0lZkNF6O0g.en.vtt

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14. Designing for Color Blindness-k4iTzS7t2U4.zh-CN.vtt

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01. Introduction-Q0lZkNF6O0g.pt-BR.vtt

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02. Lesson Overview-Gg77PqkQkhs.en.vtt

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

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14. Designing for Color Blindness-k4iTzS7t2U4.pt-BR.vtt

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19. Same Data Different Stories-jSSnkz3QT5Y.zh-CN.vtt

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18. Tell A Story-_IdOUEhjVGI.zh-CN.vtt

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19. Same Data Different Stories-jSSnkz3QT5Y.en.vtt

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19. Same Data Different Stories-jSSnkz3QT5Y.pt-BR.vtt

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07. Chart Junk-3BTBEYOG2o8.zh-CN.vtt

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

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/Part 11-Module 01-Lesson 02_Design Principles/

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/Part 03-Module 01-Lesson 05_Visualizing Movie Data/

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/Part 11-Module 01-Lesson 04_Telling Stories with Tableau/

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/Part 11-Module 01-Lesson 03_Creating Visualizations in Tableau/

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

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03. How This Lesson Is Structured-xfRtO4aFpv0.mp4

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01. What is Tableau-LeCpU8HvVg8.mp4

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/Part 08-Module 01-Lesson 03_ARIMA Models/

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/Part 03-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/

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/Part 10-Module 01-Lesson 03_Elements of SQL/

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16. Wrap Up-BGt2DQer6I4.mp4

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/Part 02-Module 03-Lesson 05_SQL Data Cleaning/

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08. CONCAT-bCxZnQN28Y4.mp4

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17. Data Cleaning Conclusion-KkHqnvD9BWY.mp4

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14. COALESCE-86vgu-ECBCQ.mp4

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01. Introduction to Data Cleaning-YTtH3NM2BX0.mp4

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05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.mp4

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02. Cleaning with String Functions-y1fduSu7Ovc.mp4

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/Part 02-Module 01-Lesson 01_Understanding Data/

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index.html

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13. Alteryx Practice-ciXCyrHqOlA.mp4

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05. The Structure of Data-o5GP_raVsQY.mp4

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08. Sources of Data-nxmficvaGbM.mp4

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17. sources of data web scraping exercise-uaFF0kowrqc.mp4

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09. 02 L Course Outline T-tgVkivSiSnk.mp4

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03. Intro-RSNarQhEdyw.mp4

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21. Data Types Example in Alteryx-mBD0nS8SznI.mp4

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10. Data Sources - File Example-Xnr3Sy2aImk.mp4

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02. Course Intro-B48y5zlpLt0.mp4

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01. PAND L6 01 V2-obIk9SMh8dk.mp4

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/Part 02-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/

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11. Subquery Solution Video-Y6S3S0LsMrw.mp4

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/

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/Part 09-Module 01-Lesson 03_Variable Reduction/

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04. Factor Analysis and PCA Overview-dXacZklqpjo.pt-BR.vtt

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02. Variable Selection And Reduction-H6Z6PjHng0I.pt-BR.vtt

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09. PCA Results-Hd0smDglM_g.en.vtt

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01. Lesson Introduction-nXbyj6-Sozk.mp4

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10. Visualizing PCA Results-0S-Bm6Li374.mp4

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12. PCA Results 2-lkglITwlwjI.mp4

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03. Variable Reduction Example-E9fqQ0soIZ4.mp4

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08. PCA-pHuAnRu08Ek.mp4

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02. Variable Selection And Reduction-H6Z6PjHng0I.mp4

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/Part 02-Module 01-Lesson 02_Data Issues/

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03. Dirty Data-1RNBKnVwclI.zh-CN.vtt

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31. Introduction To Outliers-lI8vjoykDg8.en.vtt

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33. What is an Outlier-aUKfwkHfgiA.en.vtt

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29. Advanced Methods for Dealing with Missing Data-2vzA2NYmQy0.pt-BR.vtt

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19. Why Do We Care About Missing Data-xMrC-cjLdag.en.vtt

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index.html

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01. Lesson Introduction-YPPoy2ndmUM.mp4

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31. Introduction To Outliers-lI8vjoykDg8.mp4

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/Part 03-Module 01-Lesson 01_Intro to Data Visualization/

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/Part 02-Module 03-Lesson 06_[Advanced] SQL Window Functions/

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19. Introduction to Percentiles-t7SX2ZEdxKA.zh-CN.vtt

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13. Aliases for Multiple Window Functions-RWe03bULYnM.zh-CN.vtt

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19. Introduction to Percentiles-t7SX2ZEdxKA.pt-BR.vtt

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23. Window Functions Conclusion-2ZdocDMw7D8.ar.vtt

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01. Introduction to Window Functions-u3qLjP8KMKc.mp4

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/Part 09-Module 01-Lesson 04_Clustering Models/

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index.html

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09. Cluster Validation In Alteryx-FLaIl8ZRtGQ.mp4

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07. How Many Clusters - Hierarchy-LRAdqAfPI4I.mp4

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08. How Many Clusters - K-Centroid-hTtsGVFBReg.mp4

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06. Subjectivity In Selecting Number Of Clusters-ypBA2IyF0yA.mp4

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04. Comparison Of The Two Methods-SQ75x-2Bkto.mp4

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10. Custer Validation-bwerJs3FeV0.mp4

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/Part 10-Module 01-Lesson 01_Data and Tables/

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11. Favorite Animals-O7kWdC8ffEw.mp4

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13. Uniqueness and Keys-TIayTr4y9RA.mp4

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12. Related Tables-lMwSjDYgCq0.mp4

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01. Intro to SQL for Data Analysis-CU4igXr9xTw.mp4

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/Part 09-Module 01-Lesson 05_Validating and Applying Clusters/

01. Lesson Introduction-5h9g32eZrIs.pt-BR.vtt

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01. Lesson Introduction-5h9g32eZrIs.en.vtt

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08. Conclusion-Birc4tsABeQ.en.vtt

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03. External Validation-VcG483nrmIc.en.vtt

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05. Validating Through Visualization II-3rzVIm4OV9M.pt-BR.vtt

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04. Validating Through Visualization-lh3debw-EAk.pt-BR.vtt

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02. The Iterative Nature Of Clustering-lUW-7gS0Ato.en.vtt

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07. Communicating The “story” And Ongoing Testing-AsyPGidt4v0.pt-BR.vtt

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07. Communicating The “story” And Ongoing Testing-AsyPGidt4v0.en.vtt

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06. Validating Through Visualization III-XJc0cA6zbeI.en.vtt

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index.html

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08. Conclusion.html

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09. Learning Summary.html

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01. Lesson Introduction-5h9g32eZrIs.mp4

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06. Validating Through Visualization III-XJc0cA6zbeI.mp4

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08. Conclusion-Birc4tsABeQ.mp4

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03. External Validation-VcG483nrmIc.mp4

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02. The Iterative Nature Of Clustering-lUW-7gS0Ato.mp4

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07. Communicating The “story” And Ongoing Testing-AsyPGidt4v0.mp4

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/Part 05-Module 01-Lesson 02_Binary Classification Models/

13. Decision Tree Model-78lE5QbY4hc.en.vtt

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22. Scoring the Model-BR30t_9GPaM.en.vtt

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01. Binary Classification Problems-VCB1q2eRlo4.en.vtt

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11. Validating Models-06Ee1Mkweqw.en.vtt

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01. Binary Classification Problems-VCB1q2eRlo4.pt-BR.vtt

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11. Validating Models.html

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24. Scoring the Model - Example.html

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19. Decision Tree - Validation.html

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13. Introduction to Decision Tree Modeling.html

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04. Logistic Regression - Example.html

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07. Logistic Regression - Stepwise.html

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06. Logistic Regression - Solution.html

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11. Validating Models-06Ee1Mkweqw.mp4

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03. Logistic Regression - Continued-KUl3FWPBfso.mp4

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01. Binary Classification Problems-VCB1q2eRlo4.mp4

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13. Decision Tree Model-78lE5QbY4hc.mp4

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07. Logistic Regression - Stepwise-ukJFwYAt8S8.mp4

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14. Decision Tree Model-i4oBZqknTQY.mp4

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16. Decision Tree Results II-yo6WeYUscuM.mp4

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19. Decision Tree Validation-tWX2FzBnrEs.mp4

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16. Decision Tree Results-oYG0KgQA4U0.mp4

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15. Decision Tree-BTrg4vNv_qk.mp4

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26. Outro-Iu6uGg-HMRU.mp4

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22. Scoring the Model-BR30t_9GPaM.mp4

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10. Logistic Regression - Stepwise Quiz-YwNPZz8nbVU.mp4

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08. Logistic Regression - Stepwise-MXyVnRktUWE.mp4

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02. Logistic Regression-wwL8TH_5mxw.mp4

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06. Logistic Regression - Solution-3k4ZtnOI_8A.mp4

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12. Logistic Regression - Stepwise Validation-WbFHtdkk0hc.mp4

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21. Model Comparison-nUAT1vAGw8I.mp4

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24. Scoring Model-oMuJM14ycRY.mp4

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20. Introduction to Model Comparison-9VIwZ9lW-u4.mp4

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04. Logistic Regression - Example-TWOw9ip3p6c.mp4

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/Part 08-Module 01-Lesson 02_ETS Models/

09. Exponential Trend Method-7VITfY_dgao.en.vtt

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09. Exponential Trend Method-7VITfY_dgao.pt-BR.vtt

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01. Introduction to ETS Models-U-Rw5zCDzKg.en.vtt

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11. Holt-Winters Seasonal Method-DYkr9lpTlU0.en.vtt

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08. Holt’s Linear Trend Method-9ntDzsyQTQI.en.vtt

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11. Holt-Winters Seasonal Method-DYkr9lpTlU0.pt-BR.vtt

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01. Introduction to ETS Models-U-Rw5zCDzKg.pt-BR.vtt

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08. Holt’s Linear Trend Method-9ntDzsyQTQI.pt-BR.vtt

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10. Damped Trend Method-p1MGASTnB-Y.en.vtt

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10. Damped Trend Method-p1MGASTnB-Y.pt-BR.vtt

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06. Simple Exponential Smoothing-NJEBSb12SCE.en.vtt

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06. Simple Exponential Smoothing-NJEBSb12SCE.pt-BR.vtt

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03. Identifying Additive or Multiplicative Terms-FMJHhWoVQEQ.en.vtt

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02. Time Series Decomposition-EvWNCNOmFS8.en.vtt

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03. Identifying Additive or Multiplicative Terms-FMJHhWoVQEQ.pt-BR.vtt

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02. Time Series Decomposition-EvWNCNOmFS8.pt-BR.vtt

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index.html

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13. Constructing An ETS Model-9ujKCjlEOvY.en.vtt

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13. Constructing An ETS Model-9ujKCjlEOvY.pt-BR.vtt

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10. Damped Trend Methods.html

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09. Exponential Trend Method.html

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13. Constructing an ETS Model.html

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02. Time Series Decomposition.html

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01. Introduction to ETS Models.html

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11. Holt-Winters Seasonal Method.html

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03. Identifying Additive or Multiplicative Terms.html

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08. Holt’s Linear Trend Method.html

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16. Learning Summary.html

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12. Overview So Far.html

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05. Simple Exponential Smoothing.html

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14. Constructing an ETS Model Quiz.html

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06. Simple Exponential Smoothing Quiz.html

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15. Constructing an ETS Model Solution.html

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09. Exponential Trend Method-7VITfY_dgao.mp4

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01. Introduction to ETS Models-U-Rw5zCDzKg.mp4

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06. Simple Exponential Smoothing-NJEBSb12SCE.mp4

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02. Time Series Decomposition-EvWNCNOmFS8.mp4

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11. Holt-Winters Seasonal Method-DYkr9lpTlU0.mp4

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08. Holt’s Linear Trend Method-9ntDzsyQTQI.mp4

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10. Damped Trend Method-p1MGASTnB-Y.mp4

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03. Identifying Additive or Multiplicative Terms-FMJHhWoVQEQ.mp4

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13. Constructing An ETS Model-9ujKCjlEOvY.mp4

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/Part 02-Module 02-Lesson 01_Selecting Predictor Variables/

02. Choosing Predictor Variables-Rate4lqnd0Y.zh-CN.vtt

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02. Choosing Predictor Variables-Rate4lqnd0Y.en.vtt

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02. Choosing Predictor Variables-Rate4lqnd0Y.pt-BR.vtt

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12. Preparing to Model in Alteryx-ZTfQs3J4ym8.en.vtt

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12. Preparing to Model in Alteryx-ZTfQs3J4ym8.pt-BR.vtt

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07. Predictor Variables - Correlation Continued-rDRQzG5pogM.en.vtt

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05. Predictor Variables Non-Duplicate Variables-1xa24k0y7Yk.zh-CN.vtt

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05. Predictor Variables Non-Duplicate Variables-1xa24k0y7Yk.en.vtt

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07. Predictor Variables - Correlation Continued-rDRQzG5pogM.pt-BR.vtt

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11. Preparing to Model-JKm8A-G7rZw.en.vtt

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09. Correlation Plots in Alteryx-L_6hIzmWrtk.mp4

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/Part 02-Module 01-Lesson 03_Data Formatting/

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01. n008_P2_L3_A01_l_Welcome to the lesson-3i2NHaliUAo.mp4

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/Part 06-Module 01-Lesson 03_Matched Pair Design Tests/

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index.html

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/Part 02-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/

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19. Congratulations!-_FPpbuuW-1o.en.vtt

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01. Introduction to Advanced SQL-i0VaVPIKUks.pt-BR.vtt

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14. Performance Tuning Motivation-aY4_uYWEuoE.zh-CN.vtt

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index.html

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18. Joining Subqueries-rxy-fE5GeLY.mp4

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15. More on Performance Tuning-ZK1FvNH10Ag.mp4

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/Part 04-Module 01-Lesson 01_Conduct a Job Search/

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/Part 01-Module 02-Lesson 03_Linear Regression/

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/Part 09-Module 01-Lesson 01_Segmentation Fundamentals/

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

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/Part 08-Module 01-Lesson 04_Analyzing and Visualizing Results/

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/Part 02-Module 01-Lesson 06_Create an Analytical Dataset/

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/Part 06-Module 01-Lesson 01_AB Testing Fundamentals/

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15. Conclusion-0BVte-RNQLw.mp4

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05. Treatment and Control Groups-uf8Y4BgUmTc.mp4

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10. Lurking Variables-GjOiV8FpviE.mp4

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06. Experimental and Control Variables-e8XIYDM_O4g.mp4

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08. Control Variables-BBBWcO1YmE8.mp4

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13. Experiment Duration-2jZsJkCfgO0.mp4

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02. Welcome to AB Testing-SlvB4u_cs_U.mp4

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/Part 05-Module 01-Lesson 03_Non-Binary Classification Models/

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/Part 06-Module 01-Lesson 04_Matched Pair Practice/

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04. Select Discrete Control Variables-r4sNsOgZY1w.en.vtt

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09. Run Test-HwMFACVa3nw.mp4

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

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/Part 04-Module 03-Lesson 01_Craft Your Cover Letter/

06. Write the Conclusion-i3ozyhGPmIg.en.vtt

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01. Get an Interview with a Cover Letter!-BH1KY63YfAM.zh-CN.vtt

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/Part 01-Module 02-Lesson 01_The Analytical Problem Solving Framework/

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01. PAND L4 01-uag26xhmNmo.mp4

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02. Lesson Introduction-BouY9scXCU4.mp4

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/Part 08-Module 01-Lesson 01_Fundamentals of Time Series Forecasting/

14. Outro-e1jszqylQis.en.vtt

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14. Outro-e1jszqylQis.pt-BR.vtt

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09. Seasonality-LnqF6AgJ4_0.en.vtt

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07. Trend-OwW5REl4aFg.en.vtt

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06. Time Series Components-ueMuuaEz1xI.en.vtt

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10. Seasonality Plot-Rcfw87IqRZo.en.vtt

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09. Seasonality-LnqF6AgJ4_0.pt-BR.vtt

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06. Time Series Components-ueMuuaEz1xI.pt-BR.vtt

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03. The Business Problem-R8Lxt0ooQ9I.en.vtt

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10. Seasonality Plot-Rcfw87IqRZo.pt-BR.vtt

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07. Trend-OwW5REl4aFg.pt-BR.vtt

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03. The Business Problem-R8Lxt0ooQ9I.pt-BR.vtt

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11. Cyclical Patterns--L-DoRF21Fg.en.vtt

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02. Introduction to Time Series-xvgubPMqtc8.en.vtt

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11. Cyclical Patterns--L-DoRF21Fg.pt-BR.vtt

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02. Introduction to Time Series-xvgubPMqtc8.pt-BR.vtt

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01. Welcome to Time Series Forecasting-NN9lbMyXjOA.en.vtt

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01. Welcome to Time Series Forecasting-NN9lbMyXjOA.pt-BR.vtt

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index.html

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05. Simple Forecasting Methods-kIcI43KHFlE.en.vtt

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05. Simple Forecasting Methods-kIcI43KHFlE.pt-BR.vtt

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07. Trend.html

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14. Outro.html

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09. Seasonality.html

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10. Seasonality Plot.html

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11. Cyclical Patterns.html

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03. The Business Problem.html

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06. Time Series Components.html

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05. Simple Forecasting Methods.html

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02. Introduction to Time Series.html

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01. Welcome to Time Series Forecasting.html

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13. Seasonal or Cyclical Solution.html

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04. Time Series Fundamentals Quiz.html

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12. Seasonal or Cyclical Quiz.html

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08. Trends Quiz.html

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14. Outro-e1jszqylQis.mp4

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09. Seasonality-LnqF6AgJ4_0.mp4

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07. Trend-OwW5REl4aFg.mp4

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06. Time Series Components-ueMuuaEz1xI.mp4

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10. Seasonality Plot-Rcfw87IqRZo.mp4

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11. Cyclical Patterns--L-DoRF21Fg.mp4

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03. The Business Problem-R8Lxt0ooQ9I.mp4

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02. Introduction to Time Series-xvgubPMqtc8.mp4

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01. Welcome to Time Series Forecasting-NN9lbMyXjOA.mp4

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05. Simple Forecasting Methods-kIcI43KHFlE.mp4

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/Part 09-Module 01-Lesson 02_Preparing Data for Clustering/

08. Data Quality-f_whF6dtLSg.en.vtt

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08. Data Quality-f_whF6dtLSg.pt-BR.vtt

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14. Lesson Summary--YQQxo4BovU.pt-BR.vtt

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14. Lesson Summary--YQQxo4BovU.en.vtt

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01. Data Preparation Introduction-1-DNZYmnxO4.pt-BR.vtt

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13. Visualizing The Data-kv4A1eJUngA.pt-BR.vtt

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01. Data Preparation Introduction-1-DNZYmnxO4.en.vtt

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13. Visualizing The Data-kv4A1eJUngA.en.vtt

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11. Data Prep Quiz-GudX5P9HVcM.pt-BR.vtt

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11. Data Prep Quiz-GudX5P9HVcM.en.vtt

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03. Examples Of Selecting Data Based On Objectives--WU2TJu2B54.pt-BR.vtt

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02. Getting the Right Data-3q66CIjXY_E.pt-BR.vtt

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02. Getting the Right Data-3q66CIjXY_E.en.vtt

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04. Examples Of Selecting Data Based On Objectives-UdEBQCgGkQ8.pt-BR.vtt

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04. Examples Of Selecting Data Based On Objectives-UdEBQCgGkQ8.en.vtt

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12. Transforming Variable-OIpWZrrFuGs.pt-BR.vtt

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12. Transforming Variable-OIpWZrrFuGs.en.vtt

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09. Scaling-5XJWDRK3uBw.en.vtt

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07. Data Types in Clustering-aw5uLwqbp80.pt-BR.vtt

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09. Scaling-5XJWDRK3uBw.pt-BR.vtt

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07. Data Types in Clustering-aw5uLwqbp80.en.vtt

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05. Predetermined Bias In Transactional Data-Cl3GC6IeerQ.pt-BR.vtt

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05. Predetermined Bias In Transactional Data-Cl3GC6IeerQ.en.vtt

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index.html

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08. Data Quality.html

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14. Lesson Summary.html

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13. Visualizing the Data.html

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12. Transforming Variables.html

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02. Getting the Right Data.html

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05. Predetermined Bias in Transactional Data.html

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04. Examples of Selecting Data Based on Objectives.html

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01. Data Preparation Introduction.html

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09. Scaling.html

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11. Data Prep Exercise.html

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03. Selecting Data Based on Objectives.html

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10. Scaling Quiz.html

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07. Data Types in Clustering.html

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06. Selecting Data Quiz.html

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13. Visualizing The Data-kv4A1eJUngA.mp4

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09. Scaling-5XJWDRK3uBw.mp4

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08. Data Quality-f_whF6dtLSg.mp4

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12. Transforming Variable-OIpWZrrFuGs.mp4

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14. Lesson Summary--YQQxo4BovU.mp4

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01. Data Preparation Introduction-1-DNZYmnxO4.mp4

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03. Examples Of Selecting Data Based On Objectives--WU2TJu2B54.mp4

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11. Data Prep Quiz-GudX5P9HVcM.mp4

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02. Getting the Right Data-3q66CIjXY_E.mp4

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04. Examples Of Selecting Data Based On Objectives-UdEBQCgGkQ8.mp4

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05. Predetermined Bias In Transactional Data-Cl3GC6IeerQ.mp4

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07. Data Types in Clustering-aw5uLwqbp80.mp4

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/Part 01-Module 01-Lesson 01_Orientation/

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

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18. Download Tableau Public-2bXsg6SKHG8.pt-BR.vtt

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

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07. Projects and Progress-imfQrXLhZ5M.en.vtt

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

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09. Integrity and Mindset-zCOr3O50gQM.en.vtt

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

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

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15. Downloading Files-A3jLS-jlBZI.pt-BR.vtt

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18. Tableau Desktop Download-End96VkLQc4.en.vtt

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09. Integrity and Mindset-zCOr3O50gQM.ar.vtt

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01. Introduction To The Business Analyst Nanodegree Program-zsJDWf36ea0.pt-BR.vtt

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10. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.zh-CN.vtt

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13. Final Tips-1ZVBvM54hQw.zh-CN.vtt

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13. Final Tips-1ZVBvM54hQw.pt-BR.vtt

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10. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.en.vtt

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15. 1 Youtube Basics-qUi0WgKa1zY.en.vtt

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10. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.en-US.vtt

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10. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.pt-BR.vtt

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15. 1 Youtube Basics-qUi0WgKa1zY.pt-BR.vtt

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13. Final Tips-1ZVBvM54hQw.en.vtt

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01. Introduction To The Business Analyst Nanodegree Program-zsJDWf36ea0.en.vtt

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13. Final Tips-1ZVBvM54hQw.ar.vtt

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10. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.ar.vtt

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

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

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index.html

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01. Program Introduction.html

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06. Meet Miriam.html

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08. How Does Project Submission Work.html

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03. Program Syllabus.html

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02. Tell Us About Yourself.html

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13. Final Tips.html

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07. Projects and Progress.html

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16. Software Licenses.html

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11. Meet the Careers Team.html

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14. Wrapping Up.html

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09. Integrity and Mindset.html

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

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12. Your Udacity Professional Profile.html

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04. Ask Questions.html

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05. Frequently Asked Questions.html

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18. Text Installing Tableau.html

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17. Downloading Alteryx.html

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15. Getting Help.html

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15. 1 Youtube Basics-qUi0WgKa1zY.mp4

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08. How Does Project Submission Work-jCJa_VP6qgg.mp4

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18. Tableau Desktop Download-End96VkLQc4.mp4

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18. Download Tableau Public-2bXsg6SKHG8.mp4

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15. Downloading Files-A3jLS-jlBZI.mp4

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09. Integrity and Mindset-zCOr3O50gQM.mp4

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07. Projects and Progress-imfQrXLhZ5M.mp4

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01. Introduction To The Business Analyst Nanodegree Program-zsJDWf36ea0.mp4

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13. Final Tips-1ZVBvM54hQw.mp4

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10. How Do I Find Time for My Nanodegree Program-d-VfUw7wNEQ.mp4

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11. Meet the Careers Team-cuKecPpZ7PM.mp4

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/Part 02-Module 03-Lesson 01_Basic SQL/

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

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03. Entity Relationship Diagrams-YY2TAJLEINA.en.vtt

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

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

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

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

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02. Parch Posey Database-JOMI560DgXg.en.vtt

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27. WHERE with Non-Numeric Data-_pLx7MHOyjo.pt-BR.vtt

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

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

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01. Introduction-Z8WNfx9Oq9s.zh-CN.vtt

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

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01. Introduction-Z8WNfx9Oq9s.en.vtt

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

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

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

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37. IN Operator-_JPO7wwX3uA.en.vtt

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03. Entity Relationship Diagrams-YY2TAJLEINA.ar.vtt

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

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01. Introduction-Z8WNfx9Oq9s.pt-BR.vtt

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

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02. Parch Posey Database-JOMI560DgXg.ar.vtt

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

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

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

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

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

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

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15. LIMIT Statement-cCPHNNhBgpQ.en.vtt

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

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

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

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30. Arithmetic Operators-fgcJdiNECxI.en.vtt

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37. IN Operator-_JPO7wwX3uA.ar.vtt

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18. ORDER BY Statement-wqj2As31LqI.en.vtt

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34. LIKE Operator-O5z6eWkNip4.en.vtt

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09. Types Of Statements-vLvJbIz94C4.ar.vtt

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

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

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

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

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01. Introduction-Z8WNfx9Oq9s.ar.vtt

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

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

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

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

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46. OR Operator-3vLGEuXAAvA.en.vtt

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

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40. NOT Operator-dSQF87oW8a0.en.vtt

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24. WHERE Statements -mN0uTnlXaxg.en.vtt

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43. AND BETWEEN Operators-nBuDPneWcKY.en.vtt

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

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

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15. LIMIT Statement-cCPHNNhBgpQ.ar.vtt

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18. ORDER BY Statement-wqj2As31LqI.ar.vtt

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34. LIKE Operator-O5z6eWkNip4.ar.vtt

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

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

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

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

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46. OR Operator-3vLGEuXAAvA.ar.vtt

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

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24. WHERE Statements -mN0uTnlXaxg.ar.vtt

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

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

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40. NOT Operator-dSQF87oW8a0.ar.vtt

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43. AND BETWEEN Operators-nBuDPneWcKY.ar.vtt

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

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11. SELECT FROM Statements-urOYuuav4BY.en.vtt

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

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

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11. SELECT FROM Statements-urOYuuav4BY.ar.vtt

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index.html

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01. Video SQL Introduction.html

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02. Video The Parch Posey Database.html

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40. Video NOT.html

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21. Video ORDER BY Part II.html

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17. Solutions LIMIT.html

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13. Solutions Your First Query Solution.html

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29. Solutions WHERE with Non-Numeric.html

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09. Video Types of Statements.html

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27. Video WHERE with Non-Numeric Data.html

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39. Solutions IN.html

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33. Text Introduction to Logical Operators.html

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15. Video LIMIT.html

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35. Quiz LIKE.html

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36. Solutions LIKE.html

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24. Video WHERE.html

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25. Quiz WHERE.html

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28. Quiz WHERE with Non-Numeric.html

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18. Video ORDER BY.html

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20. Solutions ORDER BY.html

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38. Quiz IN.html

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26. Solutions WHERE.html

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37. Video IN.html

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48. Solutions OR.html

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23. Solutions ORDER BY Part II.html

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11. Video SELECT FROM.html

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47. Quiz OR.html

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42. Solutions NOT.html

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44. Quiz AND and BETWEEN.html

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30. Video Arithmetic Operators.html

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32. Solutions Arithmetic Operators.html

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45. Solutions AND and BETWEEN.html

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41. Quiz NOT.html

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34. Video LIKE.html

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43. Video AND and BETWEEN.html

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07. Video How Databases Store Data.html

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46. Video OR.html

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19. Quiz ORDER BY.html

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10. Statements.html

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22. Quiz ORDER BY Part II.html

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31. Quiz Arithmetic Operators.html

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05. Text Map of SQL Content.html

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04. Quiz ERD Fundamentals.html

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16. Quiz LIMIT.html

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49. Text Recap Looking Ahead.html

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06. Video Why SQL.html

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07. How Databases Store Data-H0C9z_sRvLE.mp4

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03. Entity Relationship Diagrams-YY2TAJLEINA.mp4

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30. Arithmetic Operators-fgcJdiNECxI.mp4

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46. OR Statement-DRmkKVhe6-s.mp4

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37. IN Operator-_JPO7wwX3uA.mp4

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40. NOT Operator-dSQF87oW8a0.mp4

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46. OR Operator-3vLGEuXAAvA.mp4

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

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

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34. LIKE Operator-O5z6eWkNip4.mp4

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43. AND BETWEEN Operators-nBuDPneWcKY.mp4

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18. ORDER BY Statement-wqj2As31LqI.mp4

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21. Order By Part II-XQCjREdOqwE.mp4

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09. Types Of Statements-vLvJbIz94C4.mp4

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06. Why Do Analysts Like SQL-uCNOtUht2Xc.mp4

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24. WHERE Statements -mN0uTnlXaxg.mp4

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11. SELECT FROM Statements-urOYuuav4BY.mp4

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02. Parch Posey Database-JOMI560DgXg.mp4

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15. LIMIT Statement-cCPHNNhBgpQ.mp4

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01. Introduction-Z8WNfx9Oq9s.mp4

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/Part 02-Module 01-Lesson 04_Data Blending/

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/Part 05-Module 01-Lesson 01_Classification Problems/

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/Part 06-Module 01-Lesson 02_Randomized Design Tests/

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/Part 01-Module 01-Lesson 02_Predicting Diamond Prices/

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/Part 07-Module 01-Lesson 01_Develop Your Personal Brand/

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/Part 04-Module 02-Lesson 01_Refine Your Entry-Level Resume/

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/Part 04-Module 02-Lesson 02_Refine Your Career Change Resume/

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/Part 04-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/

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08. Resources in Your Career Portal.html

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07. Resume Review (Prior Industry Experience).html

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Project Rubric - Resume Review Project (Prior Industry Experience).html

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04. Describe Your Work Experiences-B1LED4txinI.mp4

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01. Convey Your Skills Concisely-xnQr3ohml9s.mp4

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03. Resume Structure-POM0MqLTj98.mp4

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05. Resume Reflection-8Cj_tCp8mls.mp4

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06. Resume Review-L3F2BFGYMtI.mp4

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02. Effective Resume Components-AiFcaHRGdEA.mp4

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/Part 09-Module 01-Lesson 06_Segmentation Practice Project/

index.html

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/assets/css/

styles.css

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bootstrap.min.css

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/Part 02-Module 02-Lesson 02_Practice Project Select Location of a New Petstore/

index.html

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03. Supporting Materials.html

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04. Project Solution.html

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02. Practice Project Details.html

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01. Practice Project Overview.html

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/Part 07-Module 01-Lesson 02_LinkedIn Review/

index.html

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02. Resources in Your Career Portal.html

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Project Description - LinkedIn Profile Review Project.html

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01. Using LinkedIn.html

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Project Rubric - LinkedIn Profile Review Project.html

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/Part 02-Module 03-Lesson 08_Create Reports from a Database/

index.html

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Project Description - Create Reports from a Database.html

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01. Set up the Database.html

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03. Different Date Functions.html

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Project Rubric - Create Reports from a Database.html

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02. Project Details.html

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/Part 02-Module 01-Lesson 05_Practice Project/

index.html

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01. Practice Project Intro.html

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03. Practice Project Solution.html

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04. Data Understanding.html

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02. Practice Project Details.html

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07. Outliers.html

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06. Data Cleaning.html

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05. Data Formatting and Blending.html

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/Part 08-Module 01-Lesson 05_Forecast Video Game Sales/

index.html

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Project Description - Forecast Video Game Demand.html

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04. Verify a Project Answer.html

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01. Project Overview.html

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Project Rubric - Forecast Video Game Demand.html

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/Part 06-Module 01-Lesson 05_AB Test a New Menu Launch/

index.html

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Project Description - AB Test a New Menu Launch.html

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05. Verify Project Answer.html

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01. Project Overview.html

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03. Supporting Materials.html

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04. Tips.html

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/Part 01-Module 02-Lesson 05_Predicting Catalog Demand/

index.html

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Project Description - Predicting Catalog Demand.html

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01. Project Overview.html

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05. Verify Answers for Project.html

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03. Supporting Materials.html

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02. Project Details.html

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04. Tips.html

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/Part 05-Module 01-Lesson 04_Predicting Default Risk/

index.html

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Project Description - Predicting Default Risk.html

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05. Verify Answers for Project.html

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01. Project Overview.html

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04. Tips.html

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06. Model Comparison Tool Errors.html

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02. Project Details.html

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Project Rubric - Predicting Default Risk.html

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03. Supporting Materials.html

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/Part 01-Module 02-Lesson 04_Practice Project/

index.html

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02. 3 Null Values-a64DlgUSvb0.en.vtt

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02. 3 Null Values-a64DlgUSvb0.pt-BR.vtt

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09. On to the Project!.html

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01. Practice Project Intro.html

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04. Practice Project Solution.html

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06. Input and Visualize Data.html

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02. 4 Score Tool Errors1-gqmpyzZi6FY.pt-BR.vtt

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02. 4 Score Tool Errors1-gqmpyzZi6FY.en.vtt

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07. Build the Model.html

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02. 2 Formula Tool Errors1-pRaDUUZ6c_I.pt-BR.vtt

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02. 2 Formula Tool Errors1-pRaDUUZ6c_I.en.vtt

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03. Practice Project Details.html

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05. Solution Walkthrough.html

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08. Score the Model.html

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02. New Alteryx Tools.html

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02. 3 Null Values-a64DlgUSvb0.mp4

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02. 4 Score Tool Errors1-gqmpyzZi6FY.mp4

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02. 2 Formula Tool Errors1-pRaDUUZ6c_I.mp4

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/Part 09-Module 02-Lesson 01_Combining Predictive Techniques/

index.html

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Project Description - Combining Predictive Techniques.html

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01. Project Overview.html

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06. Tips.html

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03. Task 2 New Stores.html

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02. Task 1 Store Format.html

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05. Supporting Materials.html

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Project Rubric - Combining Predictive Techniques.html

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04. Task 3 Forecasting.html

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/Part 07-Module 01-Lesson 03_Udacity Professional Profile/

index.html

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08. Experience.html

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06. Skills.html

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01. Introduction.html

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02. Getting Started.html

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Project Description - Udacity Professional Profile Review.html

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05. Recruitment Data.html

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09. Resources in Your Career Portal.html

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04. Top Section.html

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07. Projects.html

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03. Customizing Your Profile.html

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Project Rubric - Udacity Professional Profile Review.html

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/Part 10-Module 01-Lesson 02_Problem Set Data and Tables/

index.html

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03. WARM UP - Translate Query #2.html

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02. WARM UP - Translate Query #1.html

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06. Checking Setup.html

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11. Stay Curious!.html

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10. Query Audit.html

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07. Missing Tables.html

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08. Schema Match.html

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12. Mystery Code.html

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01. WARM UP - Chinook Query Playground.html

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05. Welcome to SQLite!.html

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09. Interpreting Schema.html

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04. Set Up Your Local Environment.html

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/Part 10-Module 01-Lesson 04_Problem Set Elements of SQL/

index.html

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11. Stay Curious!.html

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02. WARM UP - Query for Song Length.html

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03. WARM UP - JOIN Artist to Album.html

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09. Getting Musicians.html

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10. Heading to France.html

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07. Promotional Music Event.html

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01. SQL Scramble Top 10 Composers.html

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12. Mystery Code.html

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04. Countries with most Invoices.html

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08. Top City Favorite Music.html

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05. Best Customer Emails.html

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06. Promoting Rock Music.html

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/Part 10-Module 01-Lesson 06_Problem Set Deeper Into SQL/

index.html

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06. Import CSV.html

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11. Stay Curious!.html

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05. Working with CSV's.html

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09. Local Query - Jazz Track.html

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08. Local Query - JOIN MediaType and Track.html

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02. WARM UP - Invoice Above Average.html

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10. Local Query - Below Average Song Lengths.html

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01. WARM UP - Sum Top 5 Subquery.html

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03. WARM UP - JOIN to Subquery.html

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07. DB API - Playground.html

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13. Congratulations!.html

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12. Mystery Code.html

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04. CREATE InvoiceLine.html

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simple-sum.gif

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sum-average-functions.gif

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market-and-colors.png

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field-menu.png

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practice-with-marks.png

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post-splitting.png

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aggregation-menu.png

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create-hierarchy.png

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dual-axis-menu.png

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month-pill-menu-labeled.png

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filter-show.png

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market-to-columns-arrow.png

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market-number-of-records.png

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split-string-column.png

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rename-columns.png

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market-granularity.png

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view-data-with-arrow.png

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small-multiples-examples.png

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sorted-markets-with-arrow.png

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groups-create-hover.png

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colors-choose-palette.png

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order-date-hierarchy.png

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small-multiples-quarters.png

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show-me-bar-chart.png

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hierarchy-month.png

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show-me-selected.png

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filter-from-view.png

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dual-axis-dragged-cropped.png

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hierarchy-continuous.png

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small-multiples-with-category.png

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filter-interactive-changed.png

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filter-interactive-menu.png

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new-sheets.png

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dual-axis-before.png

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hierarchy-categories-labeled.png

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groups-create-menu.png

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dual-axis-after.png

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union.png

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world-cup-map.png

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lines-with-color.png

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header-geo-numerical.png

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filter-drag-region-cropped.png

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color-change.png

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joins.png

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set-edit.png

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calculated-field-from-field-menu.png

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mat.jpg

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group-members.png

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data-loaded.png

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filter-select-regions.png

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connect-to-global-superstore.png

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set-create.png

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calculated-field-panel.png

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calculated-field-.png

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color-map-sequential.png

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color-map-discrete.png

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profit-vs-quantity-countries.png

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groups-created.png

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calculated-profit-per-item.png

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shape-scatter.png

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filter-after.png

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set-profits.png

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sheet-ui.png

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size-bubble-plot.png

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set-colors.png

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filter-before.png

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filter-after-sub-categories.png

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filter-interactive.png

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calculated-aggregation-products.png

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calculated-aggregation.png

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calculated-field-rows.png

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groups-used-in-map.png

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jquery.mCustomScrollbar.concat.min.js

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bootstrap.min.js

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jquery-3.3.1.min.js

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plyr.polyfilled.min.js

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katex.min.js

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erd.png

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spatial-point.png

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predictive-analytics-large.jpg

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/media/

panda-p1-practice-1.mp4

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panda-p1-practice-2.mp4

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panda-p1-practice-3.mp4

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Total files 4224

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