Python for Data Science
Completed by Sarthak Umesh
May 10, 2025
39 hours (approximately)
Sarthak Umesh'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: Statistical Hypothesis Testing
- Category: Data Visualization Software
- Category: Exploratory Data Analysis
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Probability & Statistics
- Category: Seaborn
- Category: Plot (Graphics)
- Category: Data Analysis
- Category: Data Science
- Category: Data Cleansing
