Python for Data Science
Completed by EYBAR FABIAN ANGEL JIMENEZ
December 1, 2025
39 hours (approximately)
EYBAR FABIAN ANGEL JIMENEZ'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 Analysis
- Category: Data Science
- Category: Descriptive Statistics
- Category: Statistical Methods
- Category: Feature Engineering
- Category: Statistics
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Pandas (Python Package)
- Category: Matplotlib
- Category: Statistical Hypothesis Testing
- Category: Exploratory Data Analysis
