Python for Data Science
Completed by KINTADA CHANDRA MOULI SAI DURGA
August 9, 2026
39 hours (approximately)
KINTADA CHANDRA MOULI SAI DURGA'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: Pandas (Python Package)
- Category: Feature Engineering
- Category: Statistics
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Seaborn
- Category: Statistical Methods
- Category: Correlation Analysis
- Category: Descriptive Statistics
- Category: Statistical Analysis
