Python for Data Science
Completed by DAYANA DUENAS MORALES
October 10, 2025
39 hours (approximately)
DAYANA DUENAS MORALES'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 Manipulation
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Exploratory Data Analysis
- Category: Probability & Statistics
- Category: Data Processing
- Category: Statistical Analysis
- Category: Data Transformation
- Category: Data Wrangling
- Category: Data Analysis
- Category: Matplotlib
- Category: Statistical Hypothesis Testing
