Python for Data Science
Completed by Sujan Ray
April 30, 2025
39 hours (approximately)
Sujan Ray'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 Analysis
- Category: Data Science
- Category: Correlation Analysis
- Category: Seaborn
- Category: Feature Engineering
- Category: Statistics
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Pandas (Python Package)
- Category: Exploratory Data Analysis
- Category: Matplotlib
- Category: Statistical Hypothesis Testing
