Python for Data Science
Completed by PREDAG ZINEDINE UDEGBUNAM SALAZAR
October 11, 2025
39 hours (approximately)
PREDAG ZINEDINE UDEGBUNAM SALAZAR'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: Plot (Graphics)
- Category: Data Transformation
- Category: Descriptive Statistics
- Category: Data Cleansing
- Category: Seaborn
- Category: Pandas (Python Package)
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Wrangling
- Category: Data Manipulation
- Category: Data Analysis
- Category: Matplotlib
