Python for Data Science
Completed by DALIA DOMINGUEZ RODRIGUEZ
October 9, 2025
39 hours (approximately)
DALIA DOMINGUEZ RODRIGUEZ'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: Data Processing
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Statistical Hypothesis Testing
- Category: Probability & Statistics
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Statistical Analysis
- Category: Data Cleansing
- Category: Plot (Graphics)
