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 UsWhy Udacity?BlogIn the NewsJobs at UdacityBecome a MentorPartner with UdacityResourcesCatalogCareer OutcomesHelp and FAQScholarshipsResource CenterFeatured ProgramsBusiness AnalyticsSQLAWS Cloud ArchitectData AnalystIntro to ProgrammingDigital MarketingSelf Driving Car EngineerOnly at UdacityArtificial IntelligenceDeep LearningDigital MarketingFlying Car and Autonomous Flight EngineerIntro to Self-Driving CarsMachine Learning EngineerRobotics Software EngineerAI Master’sMaster of Business AdministrationMaster of Science in AIUdacity SchoolsSchool of Animation and Game DevelopmentSchool of Artificial IntelligenceSchool of Autonomous SystemsSchool of BusinessCareer ResourcesSchool of Cloud ComputingSchool of CybersecuritySchool of Data ScienceSchool of DevOpsSchool of Executive LeadershipSchool of Product ManagementSchool of Programming and Development