Python for Data Science
Completed by Shantanu Kondekar
September 1, 2025
39 hours (approximately)
Shantanu Kondekar'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: Data Visualization Software
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Statistical Hypothesis Testing
- Category: Matplotlib
- Category: Correlation Analysis
- Category: Data Cleansing
- Category: Plot (Graphics)
- Category: Probability & Statistics
- Category: Feature Engineering
