Python for Data Science
Completed by DIEGO ANDRES MONSALVE SUAREZ
March 30, 2026
39 hours (approximately)
DIEGO ANDRES MONSALVE SUAREZ'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: Feature Engineering
- Category: Data Preprocessing
- Category: Data Manipulation
- Category: Data Transformation
- Category: Statistical Hypothesis Testing
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Probability & Statistics
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Data Processing
- Category: Statistical Analysis
