Python for Data Science
Completed by CRISTIAN JOSE ZARZA GOMEZ
April 15, 2026
39 hours (approximately)
CRISTIAN JOSE ZARZA GOMEZ'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: Descriptive Statistics
- Category: Data Wrangling
- Category: Correlation Analysis
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Matplotlib
- Category: Statistical Hypothesis Testing
- Category: Probability & Statistics
- Category: Feature Engineering
- Category: Data Preprocessing
