Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

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The Pandas Python Data Science Python Library

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16 of 18

The Pandas Python Data Science Python Library

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Classroom Contents

Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

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  1. 1 Introduction to the Course and Outline
  2. 2 The Basics of Programming
  3. 3 Why Python
  4. 4 How to Install Anaconda and Python
  5. 5 How to Launch a Jupyter Notebook
  6. 6 How to Code in the iPython Shell
  7. 7 Variables and Operators in Python
  8. 8 Booleans and Comparisons in Python
  9. 9 Other Useful Python Functions
  10. 10 Control Flow in Python
  11. 11 Functions in Python
  12. 12 Modules in Python
  13. 13 Strings in Python
  14. 14 Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries
  15. 15 The NumPy Python Data Science Library
  16. 16 The Pandas Python Data Science Python Library
  17. 17 The Matplotlib Python Data Science Library
  18. 18 Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries

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