Python for Data Science
Completed by JHON ALEXANDER HINCAPIE ZAMBRANO
October 10, 2025
39 hours (approximately)
JHON ALEXANDER HINCAPIE ZAMBRANO'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 Transformation
- Category: Seaborn
- Category: Probability & Statistics
- Category: Data Analysis
- Category: Descriptive Statistics
- Category: Data Visualization Software
- Category: Statistical Hypothesis Testing
- Category: Plot (Graphics)
- Category: Statistical Analysis
- Category: Correlation Analysis
