Python for Data Science
Completed by Prabhjot Kaur
June 6, 2026
39 hours (approximately)
Prabhjot Kaur'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 Manipulation
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Probability & Statistics
- Category: Descriptive Statistics
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Data Wrangling
- Category: Data Processing
- Category: Statistical Analysis
