- 01. Video: Intro
- 02. Video: CRISP-DM
- 03. Video: The Data Science Process - Business & Data
- 04. Video: Business & Data Understanding - Example
- 05. Screencast: Using Workspaces
- 06. Quiz + Notebook: A Look at the Data
- 07. Screencast: A Look at the Data
- 08. What Should You Check?
- 09. Video: Business & Data Understanding
- 10. Video: Gathering & Wrangling
- 11. Screencast: How To Break Into the Field?
- 12. Notebook + Quiz: How To Break Into the Field
- 13. Screencast: How to Break Into the Field Solution
- 14. Screencast: Bootcamps
- 15. Quiz: Bootcamp Takeaways
- 16. Notebook + Quiz: Job Satisfaction
- 17. Screencast: Job Satisfaction
- 18. Video: It Is Not Always About ML
- 19. Video: The Data Science Process - Modeling
- 20. Video: Predicting Salary
- 21. Screencast: Predicting Salary
- 22. Notebook + Quiz: What Happened?
- 23. Screencast: What Happened Solution
- 24. Video: Working With Missing Values
- 25. Video: Removing Data - Why Not?
- 26. Video: Removing Data - When Is It OK?
- 27. Video: Removing Data - Other Considerations
- 28. Quiz: Removing Data
- 29. Notebook + Quiz: Removing Values
- 30. ScreenCast: Removing Data Solution
- 31. Notebook + Quiz: Removing Data Part II
- 32. Screencast: Removing Data Part II Solution
- 33. Video: Imputing Missing Values
- 34. Notebook + Quiz: Imputation Methods & Resources
- 35. Screencast: Imputation Methods & Resources Solution
- 36. Notebook + Quiz: Imputing Values
- 37. Screencast: Imputing Values Solution
- 38. Video: Working With Categorical Variables Refresher
- 39. Notebook + Quiz: Categorical Variables
- 40. Screencast: Categorical Variables Solution
- 41. Video: How to Fix This?
- 42. Notebook + Quiz: Putting It All Together
- 43. Screencast + Notebook: Putting It All Together Solution
- 44. Text + Quiz: Results
- 45. Video: The Data Science Process - Evaluate & Deploy
- 46. Text: Recap