Intro to Statistics 1. TeaserExplore More2. Looking at Data3. Scatter Plots4. Bar Charts5. Pie Charts6. Programming Charts (Optional)7. Admissions Case StudyProblem Set 1: Visualization8. Probability9. Conditional Probability10. Bayes Rule11. Programming Bayes Rule (Optional)11A. Probability Distributions12. Correlation vs. CausationProblem Set 2: Probability13. Estimation14. Averages15. Variance16. Programming Estimators (Optional)Problem Set 3: Estimators17. Outliers18. Binomial Distribution19A. Central Limit Theorem19. Central Limit Theorem Programming (Optional)20. The Normal Distribution21. Manipulating Normals22. Most Better than AverageProblem Set 423. Sebastian's Weight and Proofs (Optional)24. Confidence Intervals25. Normal Quantiles26. Hypothesis Test27. Hypothesis Test 228. Programming Tests and Intervals (Optional)Problem Set 5: Inference29. Regression30. Correlation31. Monty Hall Problem (Optional)Problem Set 6: Regression and Correlation32. Weight Case Studies33. Flash Crash Example34. Challenger ExampleFinal ExamWhat’s NextCompanyAbout Us Why Udacity? Blog In the News Jobs at Udacity Become a Mentor Partner with Udacity ResourcesCatalog Career Outcomes Help and FAQ Scholarships Resource Center Udacity SchoolsSchool of Artificial Intelligence School of Autonomous Systems School of Business School of Cloud Computing School of Cybersecurity School of Data Science School of Executive Leadership School of Product Management School of Programming and Development Career Resources Featured ProgramsBusiness Analytics SQL AWS Cloud Architect Data Analyst Intro to Programming Digital Marketing Self Driving Car Engineer Only at UdacityArtificial Intelligence Deep Learning Digital Marketing Flying Car and Autonomous Flight Engineer Intro to Self-Driving Cars Machine Learning Engineer Robotics Software Engineer