Python for Data Science
Completed by JEFFERSON ALEXANDER CALDERON TABLA
March 27, 2026
39 hours (approximately)
JEFFERSON ALEXANDER CALDERON TABLA'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 Wrangling
- Category: Correlation Analysis
- Category: Data Transformation
- Category: Seaborn
- Category: Probability & Statistics
- Category: Data Processing
- Category: Descriptive Statistics
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Analysis
