This Python data science course will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and Matplotlib. This is a hands-on course and you will practice everything you learn step-by-step.
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⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to the Course and Outline
⌨️ (0:03:53) The Basics of Programming
⌨️ (1:11:35) Why Python
⌨️ (1:33:09) How to Install Anaconda and Python
⌨️ (1:37:25) How to Launch a Jupyter Notebook
⌨️ (1:46:28) How to Code in the iPython Shell
⌨️ (1:53:33) Variables and Operators in Python
⌨️ (2:27:45) Booleans and Comparisons in Python
⌨️ (2:55:37) Other Useful Python Functions
⌨️ (3:20:04) Control Flow in Python
⌨️ (5:11:52) Functions in Python
⌨️ (6:41:47) Modules in Python
⌨️ (7:30:04) Strings in Python
⌨️ (8:23:57) Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries
⌨️ (9:36:10) The NumPy Python Data Science Library
⌨️ (11:04:12) The Pandas Python Data Science Python Library
⌨️ (12:01:31) The Matplotlib Python Data Science Library
⌨️ (12:09:00) Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries
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