About
This course builds on foundational programming skills to explore data analysis using Python. Students use libraries such as NumPy, pandas, matplotlib, and seaborn to clean, transform, visualize, and analyze datasets. Topics include descriptive statistics, data wrangling, time-series analysis, statistical testing, and data storytelling. Projects emphasize reproducibility, interpretation, and insight generation.