Python for Data Science
Completed by JUAN CARLOS GUERRA GARCIA
May 26, 2026
39 hours (approximately)
JUAN CARLOS GUERRA GARCIA'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: Statistical Hypothesis Testing
- Category: Data Transformation
- Category: Exploratory Data Analysis
- Category: Statistical Analysis
- Category: Pandas (Python Package)
- Category: Data Visualization Software
- Category: Data Cleansing
- Category: Data Science
- Category: Descriptive Statistics
- Category: Statistical Methods
- Category: Data Processing
- Category: Matplotlib
