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1. Introduction to Python

2. Intermediate Python

3. PROJECT

   Investigating Netflix Movies and Guest Stars in The Office

   Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.

4. Data Manipulation with pandas

5. Joining Data with Pandas

6. Introduction to Statistics in Python

7. PROJECT

   What and Where are the World's Oldest Businesses

   Use joining techniques to discover the oldest businesses in the world.

8. Introduction to Data Visualization with Matplotlib

9. Introduction to Data Visualization with Seaborn

10. Introduction to NumPy

11. Python Data Science Toolbox (Part 1)

12. PROJECT

    The Android App Market on Google Play

    Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.

13. Python Data Science Toolbox (Part 1)

14. Intermediate Data Visualization with Seaborn

15. Data Communication Concepts

16. PROJECT

    A Visual History of Nobel Prize Winners

    Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

17. SKILL ASSESSMENT

    Data Manipulation with Python

18. Introduction to Importing Data in Python

19. Intermediate Importing Data in Python

20. Cleaning Data in Python

21. Working with Dates and Times in Python

22. SKILL ASSESSMENT

    Importing & Cleaning Data With Python

23. Writing Functions in Python

24. SKILL ASSESSMENT

    Python Programming

25. Exploratory Data Analysis in Python

26. Analyzing Police Activity with pandas

27. Introduction to Regression with statsmodels in Python

28. Sampling in Python

29. Hypothesis Testing in Python

30. PROJECT

    Dr. Semmelweis and the Discovery of Handwashing

    Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

31. Supervised Learning with Scikit-Learn

32. PROJECT

    Predicting Credit Card Approvals

    Build a machine learning model to predict if a credit card application will get approved.

33. Unsupervised Learning in Python

34. Machine Learning with Tree-Based Models in Python