Data types and structures
Pandas for data manipulation
NumPy for computation
Matplotlib and Seaborn visualization
Data cleaning and preprocessing
CSV, Excel, database integration
Exploratory data analysis (EDA)
Basic statistics in Python
Automation scripts
Introduction to machine learning libraries