Python for Data Science
Completed by CAROL PUSEY ROSE
October 12, 2025
39 hours (approximately)
CAROL PUSEY ROSE'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: Statistical Analysis
- Category: Data Analysis
- Category: Data Processing
- Category: Data Cleansing
- Category: Correlation Analysis
- Category: Matplotlib
- Category: Statistical Hypothesis Testing
- Category: Seaborn
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Feature Engineering
- Category: Data Preprocessing
