Data Scientist with Python

Notes on career track Data Scientist with Python at DataCamp.

1. Introduction to Python ✔️
2. Intermediate Python ✔️
3. Investigating Netflix Movies and Guest Stars in the Office ✔️
4. Data Manipulation with Pandas ✔️
5. The Android App Market on Google Play
6. Joining Data with Pandas
7. The GitHub History of the Scala Language
8. Introduction to Data Visualization with Matplotlib
9. Introduction to Data Visualization with Seaborn
10. Python Data Science Toolbox (Part 1) ✔️
11. Python Data Science Toolbox (Part 2) ✔️
12. Intermediate Data Visualization with Seaborn
13. A Visual History of Nobel Prize Winners
14. Introduction to Importing Data in Python ✔️
15. Intermediate Importing Data in Python
16. Cleaning Data in Python
17. Working with Dates and Times in Python
18. Writing Functions in Python
19. Exploratory Data Analysis in Python
20. Analyzing Police Activity with Pandas
21. Statistical Thinking in Python (Part 1)
22. Statistical Thinking in Python (Part 2)
23. Dr. Semmelweis and the Discovery of Handwashing
24. Supervised Learning with scikit-learn
25. Predicting Credit Card Approvals
26. Unsupervised Learning in Python
27. Machine Learning with Tree-Based Models in Python
28. Case Study: School Budgeting with Machine Learning in Python
29. Cluster Analysis in Python