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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