Python for Data Science
Completed by EDWIN ERNESTO PRIETO BARRERA
October 10, 2025
39 hours (approximately)
EDWIN ERNESTO PRIETO BARRERA'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: Exploratory Data Analysis
- Category: Data Cleansing
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Wrangling
- Category: Data Analysis
- Category: Statistical Hypothesis Testing
- Category: Correlation Analysis
- Category: Data Visualization Software
- Category: Data Manipulation
- Category: Data Transformation
- Category: Descriptive Statistics
