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