Python for Data Science
Completed by KEVIN ALEJANDRO LADINO LOPEZ
September 29, 2025
39 hours (approximately)
KEVIN ALEJANDRO LADINO LOPEZ'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 Processing
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Feature Engineering
- Category: Data Transformation
- Category: Data Analysis
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Statistical Methods
- Category: Descriptive Statistics
