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10 Lessons (1h 38m)
    • 1. Intro to Data Science

      9:58
    • 2. Statistical Data Types

      14:19
    • 3. Types of Averages

      13:47
    • 4. Spread of Data

      12:01
    • 5. Quantiles and Percentiles

      5:00
    • 6. Importance of Data Visualization

      9:23
    • 7. One Variable Graphs

      6:52
    • 8. Two Variable Graphs

      13:05
    • 9. Three and Higher Variables Graphs

      6:14
    • 10. Programming in Data Science

      7:45
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Project Description

Based on the lectures, is data science an exciting subject to you?
If yes, go ahead and start engaging in some introductory or more specialised classes to help you become a skilled data scientist.

You can check out my course "Web Scraping In Python: Master The Fundamentals" to learn all about how to extract data from websites!

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