Predicting with Probability

Harness data to predict what lies ahead.

15 Lessons5 Practice

Level

1

Dealing with Uncertainty

From Data to Probabilities

Practice From Data to Probabilities

Visualizing Probabilities

Practice Visualizing Probabilities

Level

2

Probabilities with Conditions

Practice Probabilities with Conditions

Joint Probabilities

Bayes' Theorem

Practice Bayes' Theorem

Level

3

Accumulating Probability

Comparing Distributions

Practice Comparing Distributions

Level

4

Spotify's Top 100

Matching a Single Feature

Matching Multiple Features

Level

5

Recommender First Steps

Using Conditional Probability

The Law of Total Probability

Boosting Performance

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. By the end, you will know how to work with probability mass functions (PMF), cumulative distribution functions (CDF), joint and conditional probabilities, and Bayes' Theorem.

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.

Up next

Data Analysis

Regression and Classification

Leverage the power of correlation and regression to understand relationships and make predictions with data.

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