1. Introduction to Python – Math, Strings, Conditionals and Loops
2. Getting started with Python Structures
3. Executing Python – Programs, Algorithms, and Functions
4. Extending Python – Files, Errors, and Graphs
5. Constructing Python – Classes and Methods
6. Understanding the Standard Library
7. Becoming Pythonic
8. Software Development with Python
9. Discovering Tools for Python Developers
10. Introduction to Data Analytics with pandas and NumPy
11. Introduction to Machine Learning Models

THE STATISTICS AND CALCULUS WORKSHOP

1. Introduction to Python: Structures and Tools
2. Understanding Python’s Main Tools in Statistics
3. Employing Python’s Tools with Statistics
4. Using Functions and Algebra with Python
5. Mathematics with Python
6. Extending Mathematics with Python
7. Exploring and Visualizing Statistics with Python
8. Applying Foundational Probability Concepts
9. Developing Python’s Use in Statistics
10. Beginning Calculus with Python
11. Extending Calculus with Python
12. Practicing Calculus with Python