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: Data Processing
- Category: Data Wrangling
- Category: Data Analysis
- Category: Statistical Analysis
- Category: Statistical Hypothesis Testing
- Category: Matplotlib
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Probability & Statistics
- Category: Exploratory Data Analysis
- Category: Seaborn
