Python for Data Science
Completed by ANDRES CAMILO SOLER LOPEZ
November 26, 2025
39 hours (approximately)
ANDRES CAMILO SOLER LOPEZ'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: Correlation Analysis
- Category: Data Cleansing
- Category: Plot (Graphics)
- Category: Descriptive Statistics
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Data Manipulation
- Category: Matplotlib
- Category: Statistical Hypothesis Testing
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Transformation
