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Data Science with Python (Month)

Lessons

  1. The Data Science Life Cycle

    1. 1.1 What is Data Science?

    2. Description
    3. Objective
    4. 1.2 Gathering Data

    5. Description
    6. Objective
    7. 1.3 Exploring Data Using Python

    8. Description
    9. Objective
    10. 1.4 Modules, Packages & Libraries

    11. Description
    12. Objective
    13. 1.5 Series and Central Tendency

    14. Description
    15. Objective
    16. 1.6 Measures of Spread

    17. Description
    18. Objective
    19. 1.7 Pandas DataFrames

    20. Description
    21. Objective
    22. 1.8 Selecting Columns

    23. Description
    24. Objective
    25. 1.9 Using Functions

    26. Description
    27. Objective
    28. 1.10 Mini-Project: Findings

    29. Description
    30. Objective
    31. 1.11 The Data Science Life Cycle Quiz

    32. Description
    33. Objective
  2. Data Science for Change

    1. 2.1 Data Science for Change

    2. Description
    3. Objective
    4. 2.2 Big Data and Bias

    5. Description
    6. Objective
    7. 2.3 Importing and Filtering Data

    8. Description
    9. Objective
    10. 2.4 Conditional Filtering

    11. Description
    12. Objective
    13. 2.5 Data Cleaning

    14. Description
    15. Objective
    16. 2.6 Exploring with Visualizations

    17. Description
    18. Objective
    19. 2.7 Interpret and Present

    20. Description
    21. Objective
    22. 2.8 Data Science for Change Quiz

    23. Description
    24. Objective
  3. What's Next?

    1. 3.1 What's Next?

    2. Description
    3. Objective