Python for Data Science
Completed by JOSE DANIEL SANCHEZ ALVAREZ
October 1, 2025
39 hours (approximately)
JOSE DANIEL SANCHEZ ALVAREZ'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: Seaborn
- Category: Pandas (Python Package)
- Category: Feature Engineering
- Category: Statistics
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Data Analysis
- Category: Data Science
- Category: Correlation Analysis
- Category: Exploratory Data Analysis
- Category: Matplotlib
- Category: Statistical Hypothesis Testing
