- 01. Introduction
- 02. Lesson Overview
- 03. World Bank Datasets
- 04. How to Tackle the Exercises
- 05. Extract
- 06. Exercise: CSV
- 07. Exercise: JSON and XML
- 08. Exercise: SQL Databases
- 09. Extracting Text Data
- 10. Exercise: APIs
- 11. Transform
- 12. Combining Data
- 13. Exercise: Combining Data
- 14. Cleaning Data
- 15. Exercise: Cleaning Data
- 16. Exercise: Data Types
- 17. Exercise: Parsing Dates
- 18. Matching Encodings
- 19. Exercise: Matching Encodings
- 20. Missing Data - Overview
- 21. Missing Data - Delete
- 22. Missing Data - Impute
- 23. Exercise: Imputation
- 24. SQL, optimization, and ETL - Robert Chang Airbnb
- 25. Duplicate Data
- 26. Exercise: Duplicate Data
- 27. Dummy Variables
- 28. Exercise: Dummy Variables
- 29. Outliers - How to Find Them
- 30. Exercise: Outliers Part 1
- 31. Outliers - What to do
- 32. Exercise: Outliers - Part 2
- 33. AI and Data Engineering - Robert Chang Airbnb
- 34. Scaling Data
- 35. Exercise: Scaling Data
- 36. Feature Engineering
- 37. Exercise: Feature Engineering
- 38. Bloopers
- 39. Load
- 40. Exercise: Load
- 41. Putting It All Together
- 42. Exercise: Putting It All Together
- 43. Lesson Summary