Data Science

Lessons

1. The Data Science Life Cycle

1. 1.1 What is Data Science?

   • Lesson Plan
2. Description
3. Objective

4. 1.2 Gathering Data

   • Lesson Plan
5. Description
6. Objective

7. 1.3 Exploring Data Using Python

   • Lesson Plan
8. Description
9. Objective

10. 1.4 Modules, Packages & Libraries

    • Lesson Plan
11. Description
12. Objective

13. 1.5 Series and Central Tendency

    • Lesson Plan
14. Description
15. Objective

16. 1.6 Measures of Spread

    • Lesson Plan
17. Description
18. Objective

19. 1.7 Pandas DataFrames

    • Lesson Plan
20. Description
21. Objective

22. 1.8 Selecting Columns

    • Lesson Plan
23. Description
24. Objective

25. 1.9 Using Functions

    • Lesson Plan
26. Description
27. Objective

28. 1.10 Mini-Project: Findings

    • Lesson Plan
29. Description
30. Objective

31. 1.11 The Data Science Life Cycle Quiz

    • Lesson Plan
32. Description
33. Objective

2. Data Science for Change

1. 2.1 Data Science for Change

   • Lesson Plan
2. Description
3. Objective

4. 2.2 Big Data and Bias

   • Lesson Plan
5. Description
6. Objective

7. 2.3 Importing and Filtering Data

   • Lesson Plan
8. Description
9. Objective

10. 2.4 Conditional Filtering

    • Lesson Plan
11. Description
12. Objective

13. 2.5 Data Cleaning

    • Lesson Plan
14. Description
15. Objective

16. 2.6 Exploring with Visualizations

    • Lesson Plan
17. Description
18. Objective

19. 2.7 Interpret and Present

    • Lesson Plan
20. Description
21. Objective

22. 2.8 Data Science for Change Quiz

    • Lesson Plan
23. Description
24. Objective

3. Data Storytelling

1. 3.1 Data Storytelling

   • Lesson Plan
2. Description
3. Objective

4. 3.2 Data for Your Story

   • Lesson Plan
5. Description
6. Objective

7. 3.3 Data Visualizations

   • Lesson Plan
8. Description
9. Objective

10. 3.4 Line and Bar Charts

    • Lesson Plan
11. Description
12. Objective

13. 3.5 Normal Distribution

    • Lesson Plan
14. Description
15. Objective

16. 3.6 Explore Univariate Data

    • Lesson Plan
17. Description
18. Objective

19. 3.7 Trends and Correlations

    • Lesson Plan
20. Description
21. Objective

22. 3.8 Linear Regression

    • Lesson Plan
23. Description
24. Objective

25. 3.9 Explore Bivariate Data

    • Lesson Plan
26. Description
27. Objective

28. 3.10 Telling Your Story

    • Lesson Plan
29. Description
30. Objective

31. 3.11 Data Storytelling Quiz

    • Lesson Plan
32. Description
33. Objective

4. Data Science for Business

1. 4.1 Data Science for Business

   • Lesson Plan
2. Description
3. Objective

4. 4.2 Quality Datasets

   • Lesson Plan
5. Description
6. Objective

7. 4.3 Aggregating Data

   • Lesson Plan
8. Description
9. Objective

10. 4.4 Combining Datasets

    • Lesson Plan
11. Description
12. Objective

13. 4.5 Your Business Data

    • Lesson Plan
14. Description
15. Objective

16. 4.6 Bias in Data Analytics

    • Lesson Plan
17. Description
18. Objective

19. 4.7 Business Report

    • Lesson Plan
20. Description
21. Objective

22. 4.8 Data Science for Business Quiz

    • Lesson Plan
23. Description
24. Objective

5. Final Exam

1. 5.1 Final Exam

   • Lesson Plan
2. Description
3. Objective

6. What's Next?

1. 6.1 What's Next?

   • Lesson Plan
2. Description
3. Objective

7. Basic Python Bootcamp

1. 7.1 Printing in Python

   • Lesson Plan
2. Description
3. Objective

4. 7.2 Variables and Types

   • Lesson Plan
5. Description
6. Objective

7. 7.3 User Input

   • Lesson Plan
8. Description
9. Objective

10. 7.4 Mathematical Operators

    • Lesson Plan
11. Description
12. Objective

13. 7.5 String Operators

    • Lesson Plan
14. Description
15. Objective

16. 7.6 Booleans

    • Lesson Plan
17. Description
18. Objective

19. 7.7 If Statements

    • Lesson Plan
20. Description
21. Objective

22. 7.8 Comparison Operators

    • Lesson Plan
23. Description
24. Objective

25. 7.9 Logical Operators

    • Lesson Plan
26. Description
27. Objective

28. 7.10 While Loops

    • Lesson Plan
29. Description
30. Objective

31. 7.11 For Loops

    • Lesson Plan
32. Description
33. Objective

34. 7.12 Break and Continue

    • Lesson Plan
35. Description
36. Objective

37. 7.13 Nested Control Structures

    • Lesson Plan
38. Description
39. Objective

40. 7.14 Functions

    • Lesson Plan
41. Description
42. Objective

43. 7.15 Functions and Parameters

    • Lesson Plan
44. Description
45. Objective

46. 7.16 Namespaces in Functions

    • Lesson Plan
47. Description
48. Objective

49. 7.17 Functions and Return Values

    • Lesson Plan
50. Description
51. Objective

52. 7.18 Exceptions

    • Lesson Plan
53. Description
54. Objective