You will take a hands-on approach to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts.ListBrowseDataScienceProbabilityandStatisticsThiscourseispartoftheDataScienceFundamentalswithPythonandSQLSpecializationStatisticsforDataSciencewithPythonFilledStarFilledStarFilledStarFilledStarHalfFadedStar4.6stars113ratingsMurtazaHaider+1moreinstructor  EnrollforFreeStartsJun235,867alreadyenrolledOfferedByAboutInstructorsSyllabusReviewsEnrollmentOptionsFAQDataScienceFundamentalswithPythonandSQLSpecializationIBMAboutInstructorsSyllabusReviewsEnrollmentOptionsFAQAboutthisCourse59,718recentviewsThisStatisticsforDataSciencecourseisdesignedtointroduceyoutothebasicprinciplesofstatisticalmethodsandproceduresusedfordataanalysis.Aftercompletingthiscourseyouwillhavepracticalknowledgeofcrucialtopicsinstatisticsincluding-datagathering,summarizingdatausingdescriptivestatistics,displayingandvisualizingdata,examiningrelationshipsbetweenvariables,probabilitydistributions,expectedvalues,hypothesistesting,introductiontoANOVA(analysisofvariance),regressionandcorrelationanalysis.Youwilltakeahands-onapproachtostatisticalanalysisusingPythonandJupyterNotebooks–thetoolsofchoiceforDataScientistsandDataAnalysts.Attheendofthecourse,youwillcompleteaprojecttoapplyvariousconceptsinthecoursetoaDataScienceprobleminvolvingareal-lifeinspiredscenarioanddemonstrateanunderstandingofthefoundationalstatisticalthinkingandreasoning.Thefocusisondevelopingaclearunderstandingofthedifferentapproachesfordifferentdatatypes,developinganintuitiveunderstanding,makingappropriateassessmentsoftheproposedmethods,usingPythontoanalyzeourdata,andinterpretingtheoutputaccurately.Thiscourseissuitableforavarietyofprofessionalsandstudentsintendingtostarttheirjourneyindataandstatistics-drivenrolessuchasDataScientists,DataAnalysts,BusinessAnalysts,Statisticians,andResearchers.Itdoesnotrequireanycomputerscienceorstatisticsbackground.WestronglyrecommendtakingthePythonforDataScien