Python Data Science

Python Data Science: From Foundations to Models

This intermediate course builds a complete workflow by treating Python not as a language to learn but as a tool for solving real problems. You'll practice iteratively using Jupyter notebooks, master data manipulation with pandas and numpy, and create compelling visualizations that reveal patterns in complex datasets. The latter half moves into machine learning with scikit-learn and scipy, but always grounded in practical applications.

The emphasis on real-world problem solving means you're not building academic projects—you're developing the judgment to choose the right technique and the confidence to implement it end-to-end.