Probability in Data
Build a foundation in probability to better understand the likelihood of events.
Estimating Probabilities
Simulating Outcomes
The Past And The Future
Changing Fortunes
Mutually Exclusive Events
Combining Probabilities
Conditional Probability
Total Probability
Updating Predictions
Dependence and Independence
Building Models
Tuning Models
Influence Probabilities
Simulation I
Updating the Influence Probabilities
Spreading False News
Twitter Bots
Using Tweet Features
A Simple Classifier
Up next
Clustering & Classification
Detect and predict groups in your data to understand differences and make predictions.
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.