sangwoolee392/data-scientist-with-python

Data Scientist with Python Track Study

Objectives

• Completing the Career Track: Data Scientist with Python track
• TBU

Members

• @again4you
• @juseful
• @Juyounge-e
• @petanerd
• @sangwoolee392
• @wooksong
• @Yennyx

Progress

Career Track: Data Scientist with Python

1. Introduction to Python

@again4you	@juseful	@Juyounge-e	@petanerd	@sangwoolee392	@wooksong	@Yennyx
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2. Intermediate Python

@again4you	@juseful	@Juyounge-e	@petanerd	@sangwoolee392	@wooksong	@Yennyx
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3. Project: Investigating Netflix Movies

4. Data Manipulation with pandas

@again4you	@juseful	@Juyounge-e	@petanerd	@sangwoolee392	@wooksong	@Yennyx
					✅

5. Joining Data with Pandas

@again4you	@juseful	@Juyounge-e	@petanerd	@sangwoolee392	@wooksong	@Yennyx
					✅

6. Introduction to Statistics in Python

@again4you	@juseful	@Juyounge-e	@petanerd	@sangwoolee392	@wooksong	@Yennyx
					✅

7. Introduction to Data Visualization with Matplotlib

8. Introduction to Data Visualization with Seaborn

9. Python Data Science Toolbox (Part 1)

10. Python Data Science Toolbox (Part 2)

11. Intermediate Data Visualization with Seaborn

12. Project: A Visual History of Nobel Prize Winners

13. Exploratory Data Analysis in Python

14. Working with Categorical Data in Python

15. Data Communication Concepts

16. Introduction to Importing Data in Python

17. Cleaning Data in Python

18. Working with Dates and Times in Python

19. Skill Assessment: Importing & Cleaning Data with Python

20. Writing Functions in Python

21. Skill Assessment: Python Programming

22. Introduction to Regression with statsmodels in Python

23. Sampling in Python

24. Hypothesis Testing in Python

25. Project: Hypothesis Testing in Healthcare

26. Supervised Learning with scikit-learn

27. Predictive Modeling for Agriculture

28. Unsupervised Learning in Python

29. Machine Learning with Tree-Based Models in Python