Data Analysis · Level 2
2.1 Introduction to Probability
Build a foundation in probability to better understand the likelihood of events.
Estimating Probabilities
The Past And The Future
Practice The Past And The Future
Combining Probabilities
Practice Combining Probabilities
Conditional Probability
Practice Conditional Probability
Total Probability
Practice Total Probability
Updating Predictions
Practice Updating Predictions
Dependence and Independence
Practice Dependence and Independence
Building Models
Practice Building Models
Simulation
Course description
Answer real data questions using probability and simulation.
Topics covered
- Estimating Probability
- Rule of Sum
- Rule of Product
- Conditional Probability
- Bayes' Rule
- Dependence and Independence
- Cumulative Probabilities
- Probability Estimates
- Updating Probabilities
- Probability Simulation
Prerequisites and next steps
Use probability to represent and interpret data and events effectively. Decide how to work with dependent and independent events, apply Bayes' Rule to update probability estimates, and run simulations to better estimate outcomes.
Prerequisites
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Data Analysis · Level 2
2.2 Case Study: Going Viral on X
In this case study for Introduction to Probability, you’ll leverage probability to explore how posts go viral on X—and identify which posts are real (and which are probably fake).
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