Python for Data Science
Completed by Pavitra Byali
March 19, 2025
39 hours (approximately)
Pavitra Byali'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: Correlation Analysis
- Category: Data Manipulation
- Category: Matplotlib
- Category: Statistical Hypothesis Testing
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Descriptive Statistics
- Category: Statistical Methods
- Category: Statistical Analysis
- Category: Data Visualization
- Category: Data Wrangling
- Category: Pandas (Python Package)
