All Courses Data Science

Data Science with Python

Learn to collect, clean, analyze, and visualize real-world data using Python's most powerful libraries. Project: Analyze a real Chicago public dataset.

15 lessons ~3.7h Includes real project 100% Free
What You'll Build

Module 2 — Project: Chicago Data Analysis

Every course ends with a real project you build from scratch. No tutorials where you just follow along — you plan it, build it, and ship it yourself.

Course Curriculum

6 modules · 15 lessons · ~3.7h

1 Module 1 — Data Tools
4 lessons
  • Introduction to Data Science 10 min
  • NumPy — Working with Numbers 15 min
  • Pandas — Working with Tabular Data 25 min
  • Matplotlib — Data Visualization 20 min
2 Module 2 — Project: Chicago Data Analysis
1 lessons
  • Project: Analyzing Chicago Public Data 10 min
3 Module 3 — Statistical Thinking
2 lessons
  • Descriptive Statistics 13 min
  • Correlation & Relationships 13 min
4 Module 4 — Jupyter Notebooks & Data Tools in VS Code
2 lessons
  • Jupyter Notebooks in VS Code 15 min
  • Running Data Scripts from the Terminal 10 min
5 Module 5 — Exploratory Data Analysis
3 lessons
  • Cleaning Messy Data with Pandas 15 min
  • Grouping, Aggregation & Pivot Tables 15 min
  • Advanced Visualization: Seaborn & Storytelling with Data 15 min
6 Module 6 — Statistical Analysis with Python
3 lessons
  • Descriptive Statistics: Summarizing Your Data 12 min
  • Correlation & Finding Patterns in Data 12 min
  • Project: Analyzing Chicago Neighborhood Data 20 min