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Principles of Data Science

Turn raw data into trustworthy answers — sampling, wrangling, visualization, probability, and the machine-learning workflow, taught with real Python and honest uncertainty.

Also available in: Español · Português

4 modules11 lessons2 hr 50 min4 quizzes

SSyllabus Team

Nice to have before you start

You'll get more out of this if you've done:

  • Introduction to Statistics
  • Introduction to Python Programming

Handy to be comfortable with:

  • Comfort with basic algebra — reading equations and solving for an unknown
  • Familiarity with spreadsheets or tabular data (rows, columns, simple formulas)

Syllabus

Every lesson listed. Preview lessons are open — no account needed.

01What Data Science Is, and the Data It Uses3 lessons▾
  • What Is Data Science?12mfree
  • Data, Variables, and Types of Measurement15m🔒
  • Sampling and Data Collectionquiz16m🔒
02Wrangling and Exploring Data3 lessons▾
  • Data Wrangling: Cleaning and Reshaping16m🔒
  • Summarizing Data: Measures of Center and Spread

Free

free · yours forever

This course includes

  • ✓ 4 modules
  • ✓ 11 lessons
  • ✓ 2 hr 50 min
  • ✓ 4 quizzes
  • ✓ Certificate of completion
  • ✓ Lifetime access, incl. updates

Free

free · yours forever

This course includes

  • ✓ 4 modules
  • ✓ 11 lessons
  • ✓ 2 hr 50 min
  • ✓ 4 quizzes
  • ✓ Certificate of completion
  • ✓ Lifetime access, incl. updates

Free

free forever

15m
🔒
  • Exploratory Data Visualizationquiz15m🔒
    • 03Probability, Distributions, and Inference3 lessons▾
    • Foundations of Probability15m🔒
    • Distributions: From Data to Models16m🔒
    • Statistical Inference: Estimation and Testingquiz17m🔒
    04Prediction and the Machine Learning Workflow2 lessons▾
    • Regression: Predicting Numbers16m🔒
    • Classification and the Machine Learning Workflowquiz17m🔒
    Syllabus

    whole subjects · one-time price · three languages

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