Python for Data Science
Completed by RITIK RAJ
April 18, 2025
39 hours (approximately)
RITIK RAJ'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: Exploratory Data Analysis
- Category: Seaborn
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Plot (Graphics)
- Category: Data Analysis
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Correlation Analysis
- Category: Statistical Analysis
