Intro to Statistics 1. TeaserExplore More2. Looking at Data3. Scatter Plots4. Bar Charts5. Pie Charts6. Admissions Case StudyProblem Set 1: Visualization7. Probability8. Conditional Probability9. Bayes Rule9A. Programming Bayes Rule (Optional)10. Probability Distributions11. Correlation vs. CausationProblem Set 2: Probability12. Estimation13. Averages14. Variance15. Programming Estimators (Optional)Problem Set 3: Estimators16. Outliers17. Binomial Distribution18. Central Limit Theorem18A. Central Limit Theorem Programming (Optional)19. The Normal Distribution20. Manipulating Normals21. Most Better than AverageProblem Set 422. Sebastian's Weight and Proofs (Optional)23. Confidence Intervals24. Normal Quantiles25. Hypothesis Test26. Hypothesis Test 227. Programming Tests and Intervals (Optional)Problem Set 5: Inference28. Regression29. Correlation30. Monty Hall Problem (Optional)Problem Set 6: Regression and Correlation31. Weight Case Studies32. Flash Crash Example33. 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 Animation and Game Development School of Artificial Intelligence School of Autonomous Systems School of Business Career Resources School of Cloud Computing School of Cybersecurity School of Data Science School of DevOps School of Executive Leadership School of Product Management School of Programming and Development 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