Python for Data Science
Completed by NICOLAS CHACON SALGADO
October 8, 2026
39 hours (approximately)
NICOLAS CHACON SALGADO'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: Pandas (Python Package)
- Category: Feature Engineering
- Category: Statistics
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Data Analysis
- Category: Data Science
- Category: Statistical Analysis
- Category: Data Visualization
- Category: Data Wrangling
- Category: Matplotlib
