Lesson 1: Introduction to Python Lesson 2: Basic Data Types in Python (e.g., Integers, Floats, Strings, and Tuples) Lesson 3: Control Flow (e.g. if, else, while, and for loops) Lesson 4: Lists and Dictionaries Lesson 5: Numpy and Arrays Lesson 6: Plotting Fundamentals Lesson 7: Working with Dataframes Lesson 8: Classes and Objects Lesson 9: Python Libraries and Modules
Lesson 10: File Input and Output Lesson 11: Stress Testing with Python Lesson 12: Web Scraping and Automation (e.g. Selenium) Lesson 13: Debugging and Error Handling Lesson 14: Regular Expression Basics Lesson 15: Implementing APIs in Python
Lesson 16: Sentiment Analysis Lesson 17: Unsupervised Learning (e.g. K-means clustering) Lesson 18: Support Vector Machines Lesson 19: Logistic Regression Lesson 20: Neural Networks Lesson 21: Natural Language Processing Lesson 22: Big Data Analysis with Python Lesson 23: Image Processing with Python Lesson 24: Model Deployment and Predictive Analytics Lesson 25: Advanced Topics in Python (e.g. Flask and Django)