Python for Data Science
Completed by Angel Zuñiga
December 12, 2025
39 hours (approximately)
Angel Zuñiga's account is verified. Coursera certifies their successful completion of Python for Data Science
What you will learn
Build pandas pipelines to clean, transform, and aggregate real‑world datasets.
Perform EDA and compute descriptive statistics to summarize data quality and behavior.
Apply hypothesis tests (t‑test/chi‑square) and interpret results for business decisions.
Create publication‑quality charts (bar/line/box/heatmaps) with matplotlib & seaborn.
Skills you will gain
- Category: Plot (Graphics)
- Category: Correlation Analysis
- Category: Seaborn
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Pandas (Python Package)
- Category: Data Preprocessing
- Category: Statistical Analysis
- Category: Data Transformation
- Category: Data Analysis
- Category: Matplotlib
- Category: Feature Engineering
