Python for Data Science
Completed by CARLOS DAVID MARIN RESTREPO
October 9, 2025
39 hours (approximately)
CARLOS DAVID MARIN RESTREPO'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 Transformation
- Category: Data Wrangling
- Category: Correlation Analysis
- Category: Seaborn
- Category: Probability & Statistics
- Category: Data Cleansing
- Category: Plot (Graphics)
- Category: Statistical Analysis
- Category: Matplotlib
- Category: Data Manipulation
- Category: Exploratory Data Analysis
- Category: Statistical Hypothesis Testing
