Python for Data Science
Completed by christopher Hundertmark
May 22, 2024
39 hours (approximately)
christopher Hundertmark'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: Descriptive Statistics
- Category: Exploratory Data Analysis
- Category: Statistical Analysis
- Category: Data Transformation
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Pandas (Python Package)
- Category: Statistical Hypothesis Testing
- Category: Data Analysis
- Category: Data Visualization Software
- Category: Data Processing
- Category: Seaborn
