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Download TeamTreehouse - Beginning Data Science (Track) [Thomas]

TeamTreehouse Beginning Data Science Track Thomas

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TeamTreehouse - Beginning Data Science (Track) [Thomas]

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Total Size

3.8 GB

Total Files

258

Last Seen

2025-07-17 23:40

Hash

92330EE65359C4E5C2D49C0F2A8690839026E516

/.../03. Array Programming/

01. New Way of Thinking.webm

57.9 MB

02. Universal Functions.webm

45.0 MB

03. Routines in Action.webm

40.3 MB

04. Plotting.webm

40.6 MB

05. No Problem.webm

18.8 MB

/

README.txt

2.3 KB

TeamTreehouse - Beginning Data Science (Track) [Thomas].jpg

161.0 KB

TeamTreehouse - Beginning Data Science (Track) [Thomas].png

1.1 MB

Beginning Data Science.md

6.8 KB

/01. Data Analysis Basics/

Data Analysis Basics.md

4.0 KB

/.../01. Introducing Data Analysis/

01. Making Better Decisions with Data Analysis.webm

23.3 MB

02. Data is Everywhere.webm

27.1 MB

03. Creating a Spreadsheet.webm

18.8 MB

04. Getting Good Data is Hard.webm

39.4 MB

/.../01. Introducing Data Analysis/Project Files/

marathon_results_2017.csv

4.2 MB

/.../02. Getting to Know Your Data/

01. Summarizing Data Maximum, Minimum, Range.webm

18.8 MB

02. Summarizing Data Mean, Median, Mode.webm

9.7 MB

03. Analyzing Data Spread.webm

10.0 MB

04. Is Our Data Normal.webm

11.2 MB

05. Visualizing Data.webm

16.8 MB

06. Charting Our Data Part 1.webm

9.6 MB

07. Charting Our Data Part 2.webm

13.2 MB

/.../03. The Data Analysis Process/

01. Understanding Metrics.webm

30.1 MB

02. Defining Terms.webm

21.4 MB

03. Analyzing the Data.webm

15.1 MB

04. Presenting Your Findings.webm

31.8 MB

/02. Python Basics/

Python Basics.md

5.8 KB

/.../01. Meet Python/

01. Welcome.webm

37.6 MB

02. Running Scripts.webm

14.9 MB

03. The Python Shell.webm

21.5 MB

04. Syntax and Errors.webm

24.2 MB

05. Variables.webm

21.3 MB

06. Code Challenges.md

0.9 KB

07. Input and Coding Style.webm

27.1 MB

/.../02. Types and Branching/

01. Numeric.webm

28.4 MB

02. Strings and Operators.webm

14.7 MB

03. String Methods.webm

14.0 MB

04. Booleans.webm

18.4 MB

05. If, Else and Elif.webm

24.0 MB

06. Comparisons.webm

26.7 MB

/.../03. Functions and Looping/

01. Functions.webm

31.8 MB

02. Returning Values.webm

26.0 MB

03. Expecting Exceptions.webm

19.5 MB

04. Raising Exceptions.webm

16.7 MB

05. While Loops.webm

25.8 MB

06. For Loops.webm

11.8 MB

/.../04. All Together Now/

01. The Project.webm

18.3 MB

02. Gather Information.webm

13.2 MB

03. Branch and Loop.webm

20.2 MB

04. Handle Exceptions.webm

20.9 MB

05. Cleaner Code Through Refactoring.webm

22.1 MB

06. Wrapping Up.webm

19.7 MB

/03. Introducing Lists/

Introducing Lists.md

3.6 KB

/.../01. Meet Lists/

01. Welcome.webm

17.0 MB

02. Creation.webm

10.7 MB

03. Addition.webm

13.9 MB

04. Indexing.webm

33.1 MB

05. Deletion.webm

15.3 MB

/.../02. Using Lists/

01. Iteration.webm

11.6 MB

02. Mutability.webm

15.2 MB

03. Split and Join.webm

14.1 MB

04. Multidimensional Lists.webm

14.9 MB

/.../03. Build an Application/

01. The Application.webm

19.5 MB

02. Add Items.webm

10.6 MB

03. Display the List.webm

14.5 MB

04. Wrap Up.webm

6.4 MB

/04. Introducing Dictionaries/

Introducing Dictionaries.md

3.0 KB

/.../01. Introducing Dictionaries/

01. What is a dictionary.webm

16.3 MB

02. Dictionary Syntax and KeyValue Pairs.webm

12.8 MB

03. Accessing Keys and Values.webm

6.6 MB

04. Update and Mutate Dictionaries.webm

6.6 MB

/.../02. Iterating and Packing with Dictionaries/

01. Iterate over Dictionaries.webm

6.6 MB

02. Packing with Dictionaries.webm

6.5 MB

03. Unpacking with Dictionaries.md

1.2 KB

/05. Python Sequences/

Python Sequences.md

3.6 KB

/.../01. Sequence Iteration/

01. Lets Chat About Sequences.webm

12.2 MB

02. Iterating with Basic For Loops.webm

9.1 MB

03. Iterating with Enumerate.webm

7.4 MB

04. Iterating with Ranges.webm

6.7 MB

/.../02. Sequence Operations/

01. Sequence Operations.webm

8.2 MB

02. Slices.webm

7.3 MB

03. Len, Min, and Max.webm

4.6 MB

04. Membership Testing.webm

4.3 MB

05. Count and Index.webm

7.2 MB

06. Code Samples Membership Testing, Count, and Index.md

1.2 KB

07. Concatenation and Multiplication.webm

4.6 MB

08. Sequence Operations Cheat Sheet.md

2.8 KB

/06. Functions, Packing, and Unpacking/

Functions, Packing, and Unpacking.md

4.3 KB

/.../01. Introduction to Functions/

01. Recap of Functions.webm

12.0 MB

02. Defining a Function.webm

4.1 MB

03. Calling a Function.webm

3.3 MB

04. Lets Talk About Scope.webm

11.5 MB

/.../02. Getting Info In and Out of Functions/

01. Moving Forward.webm

5.1 MB

02. Functions Recap and Cheat Sheet.md

1.4 KB

03. All About Returns.webm

8.6 MB

04. Arguments and Parameters.webm

7.0 MB

05. Function Gotchas.md

1.6 KB

06. Multiple Arguments and Parameters.webm

6.3 MB

/.../03. Packing and Unpacking/

01. Packing.webm

14.1 MB

02. Packing, a Practical Example.webm

5.6 MB

03. Unpacking.webm

4.7 MB

04. Unpacking, a Practical Example.webm

5.2 MB

/07. Introducing Tuples/

Introducing Tuples.md

1.9 KB

/.../Getting to Know Tuples/

01. Introducing Tuples.webm

8.2 MB

02. Recap.webm

9.4 MB

03. Tuples vs. Lists.md

2.1 KB

04. Tuple Syntax.md

2.6 KB

/08. Object-Oriented Python/

Object-Oriented Python.md

7.3 KB

/.../01. Instant Objects/

01. What Are Objects And Classes.webm

31.4 MB

02. Lets Make a Class!.webm

8.0 MB

03. Methods.webm

14.7 MB

04. Method Arguments.webm

14.1 MB

05. Design.webm

33.1 MB

/.../01. Instant Objects/Project Files/

Object-Oriented+Python+2.zip

133.3 KB

/02. Inheritance/

01. Complex Relationships.webm

19.6 MB

02. Super-Duper!.webm

17.7 MB

03. Multiple Superclasses.webm

32.8 MB

04. Family Tree.webm

21.1 MB

/02. Inheritance/Project Files/

Object-Oriented+Python+2.zip

133.3 KB

/.../03. Advanced Objects/

01. Controlling Conversion.webm

20.7 MB

02. Math.webm

14.6 MB

03. Emulating Built-ins.webm

25.4 MB

04. Subclassing Built-ins.webm

29.8 MB

05. Constructicons.webm

20.2 MB

06. Special Methods.webm

20.9 MB

/.../03. Advanced Objects/Project Files/

Object-Oriented+Python+2.zip

133.3 KB

/.../04. Dice Roller/

01. Project Breakdown.webm

17.9 MB

02. Comparing and Combining Dice.webm

18.6 MB

03. Giving a Hand.webm

20.7 MB

04. Yatzy Scoring.webm

14.8 MB

05. Where to Now.webm

16.5 MB

/.../04. Dice Roller/Project Files/

Object-Oriented+Python+2.zip

133.3 KB

/09. Learning SQL/

Learning SQL.md

0.5 KB

/10. Introduction to Anaconda/

01. What is Anaconda and why use it.webm

22.8 MB

02. Installing Anaconda.webm

18.5 MB

03. Using conda to Install Packages.webm

9.8 MB

04. miniconda.webm

21.4 MB

Introduction to Anaconda.md

1.2 KB

/11. Jupyter Notebooks/

01. Installation and Creating Your First Notebook.webm

18.5 MB

02. Running Code in Cells.webm

13.0 MB

03. Graphs and Charts.webm

26.5 MB

04. Other Languages.webm

21.2 MB

Jupyter Notebooks.md

1.3 KB

/12. Introduction to NumPy/

Introduction to NumPy.md

4.5 KB

/.../01. Meet NumPy/

01. Welcome.webm

48.5 MB

02. Getting Setup.webm

18.3 MB

03. Introducing Arrays.webm

40.3 MB

04. Creating the Study Log.webm

30.5 MB

05. Multidimensional Arrays.webm

37.0 MB

/.../01. Meet NumPy/Project Files/

python-intro-to-numpy.zip

59.1 KB

/.../02. Array Organization/

01. Indexing.webm

51.4 MB

02. Boolean Array Indexing.webm

47.6 MB

03. Slicing.webm

29.6 MB

04. Manipulation.webm

45.6 MB

/.../02. Array Organization/Project Files/

python-intro-to-numpy.zip

59.1 KB

/.../03. Array Programming/Project Files/

python-intro-to-numpy.zip

59.1 KB

/0. Meet pandas/

0.Welcome.webm

41.7 MB

1.Meet Series.webm

12.6 MB

2.Vectorization and Broadcasting Review.webm

14.4 MB

3.Meet DataFrames.webm

12.2 MB

4.Onwards.webm

5.0 MB

/0. Meet pandas/Instruction/

About This Course.png

307.9 KB

Accessing a DataFrame.png

735.2 KB

Accessing a Series.png

696.3 KB

Creating a DataFrame.png

476.2 KB

Creating a Series.png

523.7 KB

Series Vectorization and Broadcasting.png

566.7 KB

/0. Meet pandas/Project Files/

python-introducing-pandas-1.2.0.zip

90.4 KB

/1. Exploring pandas/

0.Importing Data.webm

9.5 MB

1.Manipulation.webm

5.7 MB

2.Combining DataFrames.webm

9.4 MB

3.Until Next Time.webm

14.4 MB

/1. Exploring pandas/Instruction/

Combining DataFrames.png

1.3 MB

Exploration Methods.png

1.3 MB

Grouping.png

968.6 KB

Handling Duplicated and Missing Data.png

883.7 KB

Manipulating Text.png

742.8 KB

Manipulation Techniques.png

1.3 MB

Optional Challenge #1 - Top Referrers.png

403.4 KB

Optional Challenge #2 - Update Users.png

409.0 KB

Optional Challenge #3 - Verified Email List.png

429.4 KB

Selecting Data.png

769.6 KB

/14. Preparing Data for Analysis/

Preparing Data for Analysis.md

2.4 KB

/.../01. Understanding Cleaning Data/

01. What Is Cleaning Data.webm

17.5 MB

02. Context.webm

18.2 MB

03. Bad Data Types.webm

18.4 MB

/.../02. Data Cleaning/

01. Cleaning A Spreadsheet.webm

37.1 MB

02. Cleaning A Spreadsheet Part 2.webm

22.3 MB

03. Cleaning A CSV.webm

23.9 MB

04. Cleaning A CSV Part 2.webm

25.6 MB

05. Cleaning A CSV Part 3.webm

25.1 MB

06. Cleaning A CSV Part 4.webm

24.8 MB

/.../02. Data Cleaning/Project Files/

preparing-data-for-analysis-student.zip

38.9 KB

/15. Introduction to Data Visualization with Matplotlib/

Introduction to Data Visualization with Matplotlib.md

4.6 KB

/.../01. Getting Started with Data Visualization/

01. Welcome to Matplotlib.webm

13.8 MB

02. Getting Started with Charting.webm

10.7 MB

03. The Legend of Charting.webm

11.3 MB

04. Chart Types & Reasons to Use.webm

19.8 MB

/.../01. Getting Started with Data Visualization/Project Files/

intro_matplotlib.zip

272.0 KB

/.../02. Chart Toppers/

01. Our Data Set - Flower Power.webm

20.0 MB

02. Scatter Plot.webm

18.1 MB

03. Histogram.webm

18.9 MB

04. Box Plot.webm

15.4 MB

05. Saving Your Work.webm

12.6 MB

/.../02. Chart Toppers/Project Files/

intro_matplotlib.zip

272.0 KB

/.../03. Data Eruption/

01. Problem Discussion.webm

13.8 MB

02. Decision Process.webm

21.4 MB

03. Problem Summary and Presentation.webm

9.3 MB

/.../03. Data Eruption/Project Files/

intro_matplotlib.zip

272.0 KB

/16. More Visualization/

More Visualization.md

1.0 KB

/17. Scraping Data From the Web/

Scraping Data From the Web.md

4.2 KB

/.../01. Introducing Data Scraping/

01. What is Data Scraping.webm

32.5 MB

02. Web Page Anatomy.webm

19.7 MB

03. Beautiful Soup.webm

28.5 MB

04. More Soup in the Tureen.webm

24.7 MB

05. Being a Good Citizen.webm

32.7 MB

/.../01. Introducing Data Scraping/Project Files/

scraping_data_from_the_web.zip

38.2 KB

/.../02. A World Full of Spiders/

01. Everyone Loves Charlotte.webm

29.2 MB

02. Installing Scrapy.webm

12.5 MB

03. Crawling Spiders.webm

20.5 MB

04. The Endless Web.webm

40.2 MB

/.../02. A World Full of Spiders/Project Files/

scraping_data_from_the_web.zip

38.2 KB

/.../03. Additional Scraping Tasks/

01. An Intelligent Spider.webm

20.8 MB

02. Scraping APIs.webm

24.0 MB

03. Using Scrapers for Site Testing.webm

23.3 MB

04. Common Issues with Data Scraping.md

1.7 KB

05. Wrapping Up.webm

7.7 MB

/.../03. Additional Scraping Tasks/Project Files/

scraping_data_from_the_web.zip

38.2 KB

/18. Data from APIs/

01. Accessing an API with Python.webm

33.9 MB

02. Gathering Weather Data.webm

8.7 MB

03. Calling the API.webm

26.7 MB

04. Saving the Data.webm

23.4 MB

Data from APIs.md

1.0 KB

/19. Introduction to Big Data/

Introduction to Big Data.md

4.3 KB

/.../01. What is Big Data/

01. Welcome.webm

20.1 MB

02. Characteristics of Big Data.webm

10.5 MB

03. The Importance of Big Data.webm

23.9 MB

04. Exploring Our New Problems.webm

43.3 MB

/.../02. Where and How is Big Data Used/

01. Where is it Being Used.webm

14.8 MB

02. Types of Data.webm

23.5 MB

03. Domain Data Storage.webm

36.3 MB

04. Domain Computations.webm

30.7 MB

05. Domain Infrastructure.webm

18.3 MB

/.../03. Big Data at Netflix/

01. What Problems Does Netflix Have.webm

30.9 MB

02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm

18.2 MB

03. Wrapping Up.webm

29.0 MB

/20. Machine Learning Basics/

Machine Learning Basics.md

3.4 KB

/.../01. Introduction to Machine Learning/

01. What is Machine Learning.webm

23.5 MB

02. Supervised and Unsupervised Learning.webm

30.8 MB

03. Machine Learning Frameworks.webm

19.8 MB

/.../02. Machine Learning Vocabulary/

01. Examples and Features.webm

13.4 MB

02. Labels and Classifiers.webm

11.4 MB

/.../03. Writing a Classifier/

01. Installing scikit-learn using Anaconda.webm

18.9 MB

02. Loading a Dataset.webm

15.1 MB

03. Making Predictions with a Classifier.webm

11.9 MB

04. Machine Learning Review.webm

8.2 MB

/.../03. Writing a Classifier/Project Files/

ML-machine-learning-basics.zip

0.6 KB

/Common Issues with Data Scraping/

Common Issues with Data Scraping.md

1.7 KB

 

Total files 258


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