Predicting with Probability View more

Harness data to predict what lies ahead.

Book 13 Lessons

Probability Mass Functions

Start

Dealing with Uncertainty

From Data to Probabilities

Practice Probability

Visualizing Probabilities

Practice Visualizing Probabilities

Conditional Probability

Probabilities with Conditions

Practice Conditional Probability

Joint Probabilities

Bayes' Rule

Practice Bayes' Rule

Cumulative Distribution Functions

Accumulating Probability

Comparing Distributions

Practice CDFs

Course description

Much in life is left to chance, from next week's weather to the stock market to the traits we pass on to our children.

This course provides hands-on experience extracting predictions about the future from weather and airline data.

Topics covered

  • Probability as counting
  • Probability Mass Functions (PMF)
  • Cumulative Distribution Functions (CDF)
  • Conditional Probability
  • Joint Probability
  • The Law of Total Probability
  • Baye’s Theorem
  • Normalization

Prerequisites and next steps

Introduction to Probability Data Analysis Fundamentals

Fluency in converting between decimals and percentages.