Python for Data Science
Completed by NICOLAS DAVID PENUELA CABALLERO
October 10, 2025
39 hours (approximately)
NICOLAS DAVID PENUELA CABALLERO'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 Cleansing
- Category: Correlation Analysis
- Category: Plot (Graphics)
- Category: Feature Engineering
- Category: Data Processing
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Data Analysis
- Category: Seaborn
- Category: Exploratory Data Analysis
- Category: Probability & Statistics
- Category: Data Preprocessing
