- 01. Introduction
- 02. Problems Solved by Data Analysts
- 03. Data Analysis Process
- 04. Setting Up Your System
- 05. Intro to CSVs
- 06. CSVs in Python
- 07. Fixing Data Types
- 08. Questions about Student Data
- 09. Investigating the Data
- 10. Problems in the Data
- 11. Missing Engagement Records
- 12. Checking for More Problem Records
- 13. Tracking Down the Remaining Problems
- 14. Refining the Question
- 15. Getting Data from First Week
- 16. Indulge Curiosity
- 17. Exploring Student Engagement
- 18. Debugging Data Analysis Code
- 19. Lessons Completed in First Week
- 20. Number of Visits in the First Week
- 21. Splitting out Passing Students
- 22. Comparing the Two Student Groups
- 23. Making Histograms
- 24. Are your Results Just Noise?
- 25. Correlation Does Not Imply Causation
- 26. Predicting Based on Many Features
- 27. Communication
- 28. Improving Plots and Sharing Findings
- 29. Data Analysis and Related Terms
- 30. Conclusion
- 31. Quiz Solutions