Python for Data Science
Completed by Rangesh Soni
April 22, 2025
39 hours (approximately)
Rangesh Soni'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: Seaborn
- Category: Probability & Statistics
- Category: Statistical Hypothesis Testing
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Data Manipulation
- Category: Matplotlib
- Category: Descriptive Statistics
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Data Wrangling
