Python for Data Science
Completed by Kanishka Abeygunawardena
March 31, 2025
39 hours (approximately)
Kanishka Abeygunawardena'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 Processing
- Category: Data Analysis
- Category: Seaborn
- Category: Data Wrangling
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Pandas (Python Package)
- Category: Exploratory Data Analysis
- Category: Statistical Hypothesis Testing
- Category: Feature Engineering
