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

Learn Python for data science from scratch in this comprehensive 12-hour course. Master essential programming basics, Python syntax, and data structures before diving into powerful libraries like NumPy, Pandas, and Matplotlib. Practice hands-on coding throughout, culminating in a COVID-19 trend analysis project. Ideal for beginners, this course covers everything from installation and Jupyter Notebooks to advanced data manipulation and visualization techniques. Gain practical skills in data analysis, statistical computing, and creating impactful visualizations using Python's most popular data science tools.

Introduction to the Course and Outline.
The Basics of Programming.
Why Python.
How to Install Anaconda and Python.
How to Launch a Jupyter Notebook.
How to Code in the iPython Shell.
Variables and Operators in Python.
Booleans and Comparisons in Python.
Other Useful Python Functions.
Control Flow in Python.
Functions in Python.
Modules in Python.
Strings in Python.
Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries.
The NumPy Python Data Science Library.
The Pandas Python Data Science Python Library.
The Matplotlib Python Data Science Library.
Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries.