Python for Data Science
Completed by Akash Baijnath Rajbhar
January 6, 2026
39 hours (approximately)
Akash Baijnath Rajbhar'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: Probability & Statistics
- Category: Data Analysis
- Category: Data Preprocessing
- Category: Data Manipulation
- Category: Data Transformation
- Category: Feature Engineering
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Data Cleansing
- Category: Plot (Graphics)
- Category: Correlation Analysis
- Category: Statistical Analysis
