In this project, learners will get a refresher of introductory statistics, learn about different python libraries that can be used to run statistical analysis, and create ...ListBrowseChevronRightDataScienceChevronRightProbabilityandStatisticsIntroductiontoStatisticsinPythonOfferedByInthisGuidedProject,youwill:ReviewintroductorystatisticsfunctionsExplorepythonlibrariesandtheirdocumentationsPerformstatisticalanalysisandcreatecorrespondingvisualizationsinpythonClock2hoursIntermediateIntermediateCloudNodownloadneededVideoSplit-screenvideoCommentDotsEnglishLaptopDesktoponlyInthisproject,learnerswillgetarefresherofintroductorystatistics,learnaboutdifferentpythonlibrariesthatcanbeusedtorunstatisticalanalysis,andcreatevisualizationstorepresenttheresults.Bytheendoftheproject,thelearnerswillimportarealworlddataset,runstatisticalanalysistofindmeans,medians,standarddeviations,correlations,andotherinformationofthedata.Thelearnerswillalsocreatedistinctgraphsandplotstorepresentthedata.Alongtheway,thelearnerswillnotonlylearnthefrequentlyusedstatisticsfunctions,butalsolearntonavigatedocumentationsfordifferentpythonlibrariesinordertofindassistanceintheimplementationofthosefunctions,andfindotherrelevantfunctionsaswell.Thiswillhelpthelearnerstounderstandthematerialandimplementmorecomplexfunctionsdowntheroadinsteadofsimplymemorizingthesyntaxofonesolution.Note:ThiscourseworksbestforlearnerswhoarebasedintheNorthAmericaregion.We’recurrentlyworkingonprovidingthesameexperienceinotherregions.SkillsyouwilldevelopPerformingbasicstatisticalanalysisinpythonperformingstatisticalanalysisandcreatingcorrespondingvisualizationsinpythonunderstandingpythonlibrarydocumentationsexploringandimplementingpythonlibrariescustomizingpythonvisulizationsLearnstep-by-stepInavideothatplaysinasplit-screenwithyourworkarea,yourinstructorwillwalkyouthroughthesesteps:ReviewintroductorystatisticsfunctionsExplorepythonlibrariesandtheirdocumentationsImportandusefunctionsfrompythonlibrariesPerformbasicstatisticalanalysisus

Offered by University of Michigan. Practical and Modern Statistical Thinking For All. Use Python for statistical visualization, inference, ... Enroll for free.ListBrowseDataScienceProbabilityandStatisticsStatisticswithPythonSpecializationPracticalandModernStatisticalThinkingForAll.UsePythonforstatisticalvisualization,inference,andmodelingFilledStarFilledStarFilledStarFilledStarHalfFadedStar4.6stars2,100ratingsBrendaGunderson+2moreinstructors  EnrollforFreeStartsJun2348,917alreadyenrolledOfferedByAboutHowItWorksCoursesInstructorsEnrollmentOptionsFAQStatisticswithPythonSpecializationUniversityofMichiganAboutHowItWorksCoursesInstructorsEnrollmentOptionsFAQWhatyouwilllearnCreateandinterpretdatavisualizationsusingthePythonprogramminglanguageandassociatedpackages&librariesApplyandinterpretinferentialprocedureswhenanalyzingrealdataApplystatisticalmodelingtechniquestodata(ie.linearandlogisticregression,linearmodels,multilevelmodels,Bayesianinferencetechniques)Understandimportanceofconnectingresearchquestionstodataanalysismethods.SkillsyouwillgainPythonProgrammingDataVisualization(DataViz)StatisticalModelStatisticalinferencemethodsStatisticsDataAnalysisConfidenceIntervalStatisticalInferenceStatisticalHypothesisTestingBayesianStatisticsstatisticalregressionAboutthisSpecialization36,740recentviewsThisspecializationisdesignedtoteachlearnersbeginningandintermediateconceptsofstatisticalanalysisusingthePythonprogramminglanguage.Learnerswilllearnwheredatacomefrom,whattypesofdatacanbecollected,studydatadesign,datamanagement,andhowtoeffectivelycarryoutdataexplorationandvisualization.Theywillbeabletoutilizedataforestimationandassessingtheories,constructconfidenceintervals,interpretinferentialresults,andapplymoreadvancedstatisticalmodelingprocedures.Finally,theywilllearntheimportanceofandbeabletoconnectresearchquestionstothestatisticalanddataanalysismethodstaughttothem.AppliedLearningProjectThecoursesinthisspecializationfeatureavarietyofassignmentsthatwilltestthelearner’sknowledgeandab

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

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners ...JoinourStudyGroupsonRedis,Excel,andALifeofHappinessViewCloseClassCentralislearner-supported.Whenyoubuythroughlinksonoursite,wemayearnanaffiliatecommission.GotoclassCoursera SpecializationHelpPaidCourseEnglishCertificateAvailable13weekslong,5hoursaweekSharethiscourseFoundinStatistics&ProbabilityCoursesPythonCoursesJoinoneofourstudygroupsandlearntogether!ViewallOverviewClassCentralTipsLearnHowtoSignuptoCourseracoursesforfree1600+CourseraCoursesThatAreStillCompletelyFreeThisspecializationisdesignedtoteachlearnersbeginningandintermediateconceptsofstatisticalanalysisusingthePythonprogramminglanguage.Learnerswilllearnwheredatacomefrom,whattypesofdatacanbecollected,studydatadesign,datamanagement,andhowtoeffectivelycarryoutdataexplorationandvisualization.Theywillbeabletoutilizedataforestimationandassessingtheories,constructconfidenceintervals,interpretinferentialresults,andapplymoreadvancedstatisticalmodelingprocedures.Finally,theywilllearntheimportanceofandbeabletoconnectresearchquestionstothestatisticalanddataanalysismethodstaughttothem.SyllabusCourse1:UnderstandingandVisualizingDatawithPython-OfferedbyUniversityofMichigan.Inthiscourse,learnerswillbeintroducedtothefieldofstatistics,includingwheredatacomefrom,...Enrollforfree.Course2:InferentialStatisticalAnalysiswithPython-OfferedbyUniversityofMichigan.Inthiscourse,wewillexplorebasicprinciplesbehindusingdataforestimationandforassessing...Enrollforfree.Course3:FittingStatisticalModelstoDatawithPython-OfferedbyUniversityofMichigan.Inthiscourse,wewillexpandourexplorationofstatisticalinferencetechniquesbyfocusingonthe...Enrollforfree.CoursesFittingStatisticalModelstoDatawithPython0reviews4weekslong,15hoursworthofmaterialViewdetailsInthiscourse,wewillexpandourexplorationofstatisticalinferencetechniquesbyfocusingonthescienceandartoffittingstatisticalmodelstodata.Wewillb

Statistics with Python is a newest Specialization from the University of Michigan, and enables anyone who has taken the massively popular ...ShareShareonFacebookShareShareonTwitterTweetShareonLinkedInShareSendemailMailStatisticswithPythonisanewestSpecializationfromtheUniversityofMichigan,andenablesanyonewhohastakenthemassivelypopularPythonforEverybodySpecializationtotakethenextstepintheirdatascienceeducation.ThisSpecializationisalsorecommendedifyou’reconsideringtheUniversityofMichiganMasterofAppliedDataSciencedegreeprogram.Inthis3-courseSpecializationyou’lllearnhowtousePythontounderstandstatisticalstudiesandreportsfromthreeexperts:Dr.BrendaGunderson,LecturerIVandResearchFellow,DepartmentofStatistics,Dr.KerbyShedden,Professor,DepartmentofStatistics,andDr.BradyT.West,ResearchAssociateProfessor,InstituteforSocialResearch.WespokewiththeinstructorstolearnmoreabouttheSpecialization’suniquelab-basedapproachandthebigideasyoucanuseacrossmultipledomains.1.WhatisStatisticswithPython?ThisSpecializationaimstointroduceabroadaudienceoflearnerstomodernstatisticalthinking.NotonlywillStatisticswithPythonintroduceessentialstatisticalconceptsinafunandengagingway,butitwillalsogiveyouseveralopportunitiestoanalyzerealdatausingPython,andapplytheconceptstorealproblems.Wetrulyloveteachingandemphasizingthereal-worldapplicationsofstatistics,andwethinkthisblendofanappliedpedagogicalapproachwithpopularsoftwarefordatamanagementandanalysismakesforaveryuniqueandexcitingSpecialization.Wethinkthatthethreecourseswillappealtopeoplewhoarecuriousaboutstatisticsandthebroadnessinapplicationisalsowhysomanyfolksareinterestedinthedisciplinethesedays.YouwillleavethisSpecializationarmedwithsomeprettypowerfultoolsenablingyoutogaininterestinginsightsfromdata.2.WhatexcitesyouaboutStatisticswithPython?ItmaybesurprisinghoweasyitcanbetomanipulatedataandthenperformstatisticalanalysesusingPython.Youdon’thavetobeaprogrammingexperttoeffectivelyusePythonforstatisticalanalysis.Peoplemayhaveanimmediatenegativereactionwhenth

Video created by University of Michigan for the course "Fitting Statistical Models to Data with Python". We begin this third course of the Statistics with Python ...ListPythonStatisticsLandscapeLoading...FittingStatisticalModelstoDatawithPythonUniversityofMichiganFilledStarFilledStarFilledStarFilledStarHalfFadedStar4.4(536ratings) | 23KStudentsEnrolledCourse3of3intheStatisticswithPythonSpecializationEnrollforFreeThisCourseVideoTranscriptInthiscourse,wewillexpandourexplorationofstatisticalinferencetechniquesbyfocusingonthescienceandartoffittingstatisticalmodelstodata.WewillbuildontheconceptspresentedintheStatisticalInferencecourse(Course2)toemphasizetheimportanceofconnectingresearchquestionstoourdataanalysismethods.Wewillalsofocusonvariousmodelingobjectives,includingmakinginferenceaboutrelationshipsbetweenvariablesandgeneratingpredictionsforfutureobservations.Thiscoursewillintroduceandexplorevariousstatisticalmodelingtechniques,includinglinearregression,logisticregression,generalizedlinearmodels,hierarchicalandmixedeffects(ormultilevel)models,andBayesianinferencetechniques.Alltechniqueswillbeillustratedusingavarietyofrealdatasets,andthecoursewillemphasizedifferentmodelingapproachesfordifferenttypesofdatasets,dependingonthestudydesignunderlyingthedata(referringbacktoCourse1,UnderstandingandVisualizingDatawithPython).Duringtheselab-basedsessions,learnerswillworkthroughtutorialsfocusingonspecificcasestudiestohelpsolidifytheweek’sstatisticalconcepts,whichwillincludefurtherdeepdivesintoPythonlibrariesincludingStatsmodels,Pandas,andSeaborn.ThiscourseutilizestheJupyterNotebookenvironmentwithinCoursera.ViewSyllabusSkillsYou'llLearnBayesianStatistics,PythonProgramming,StatisticalModel,statisticalregressionReviewsFilledStarFilledStarFilledStarFilledStarHalf-FilledStar4.4(536ratings)5stars63.99%4stars22.01%3stars8.39%2stars3.35%1star2.23%ETJul1,2020FilledStarFilledStarFilledStarFilledStarFilledStarAwesomeoverviewaboutwhatcanwedowithstaticticsknowlegde!Halftheory,halfpracticewit

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Complete this Guided Project in under 2 hours. By the end of this project, you will learn how to use Python for basic statistics (including t-tests and ...ListBrowseChevronRightDataScienceChevronRightProbabilityandStatisticsBasicStatisticsinPython(CorrelationsandT-tests)FilledStarFilledStarFilledStarFilledStarHalfFadedStar4.3stars15ratings•4reviewsOfferedByInthisGuidedProject,youwill:Cleandata,includingremovingmissingdataandunnecessarycolumnsExploredatausingdescriptivestatisticsCreatevisualizationsofourdataandanalysisPerformstatisticaltests,includingt-testsandcorrelationClock1hour10minsBeginnerBeginnerCloudNodownloadneededVideoSplit-screenvideoCommentDotsEnglishLaptopDesktoponlyBytheendofthisproject,youwilllearnhowtousePythonforbasicstatistics(includingt-testsandcorrelations).Wewilllearnalltheimportantstepsofanalysis,includingloading,sortingandcleaningdata.Inthiscourse,wewilluseexploratorydataanalysistounderstandourdataandplotboxplotstovisualizethedata.Boxplotsalsoallowustoinvestigateanyoutliersinourdatasets.Wewillthenlearnhowtoexaminerelationshipsbetweenthedifferentdatausingcorrelationsandscatterplots.Finally,wewillcomparedatausingt-tests.ThroughoutthiscoursewewillanalyseadatasetonScienceandTechnologyfromWorldBank.Themeasuresinthisdatasetarenumeric,thereforeyouwilllearnhowtohandleandcomparenumericdata.ThisguidedprojectisforanyonewithaninterestinperformingstatisticalanalysisusingPython.Thiscouldbesomeonefromasocialsciencebackgroundwithstatisticsknowledgewhowantstoadvancetheiranalysis,oranyoneinterestedinanalysingdata.SkillsyouwilldevelopStatisticalAnalysisDataCleansingSummaryStatisticsPandasDataVisualization(DataViz)Learnstep-by-stepInavideothatplaysinasplit-screenwithyourworkarea,yourinstructorwillwalkyouthroughthesesteps:SetupanewGoogleColabnotebookLoaddataintonotebookCleandatatoremovemissingdataandunnecessarycolumnsPerformexploratorydataanalysisCreateboxplotsusingforloopsExplorerelationshipsbetweendatausingcorrelationandscatterplotsPerformt-teststocomparedatafrom

Offered by IBM. Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different ... Enroll for free.ListBrowseDataScienceDataAnalysisDataAnalysiswithPythonFilledStarFilledStarFilledStarFilledStarHalfFadedStar4.7stars13,490ratingsJosephSantarcangelo  EnrollforFreeStartsJun23188,281alreadyenrolledOfferedByAboutInstructorsSyllabusReviewsEnrollmentOptionsFAQIBMAboutInstructorsSyllabusReviewsEnrollmentOptionsFAQAboutthisCourse630,265recentviewsLearnhowtoanalyzedatausingPython.ThiscoursewilltakeyoufromthebasicsofPythontoexploringmanydifferenttypesofdata.Youwilllearnhowtopreparedataforanalysis,performsimplestatisticalanalysis,createmeaningfuldatavisualizations,predictfuturetrendsfromdata,andmore!Topicscovered:1)ImportingDatasets2)CleaningtheData3)Dataframemanipulation4)SummarizingtheData5)BuildingmachinelearningRegressionmodels6)BuildingdatapipelinesDataAnalysiswithPythonwillbedeliveredthroughlecture,lab,andassignments.Itincludesfollowingparts:DataAnalysislibraries:willlearntousePandas,NumpyandScipylibrariestoworkwithasampledataset.Wewillintroduceyoutopandas,anopen-sourcelibrary,andwewilluseittoload,manipulate,analyze,andvisualizecooldatasets.Thenwewillintroduceyoutoanotheropen-sourcelibrary,scikit-learn,andwewillusesomeofitsmachinelearningalgorithmstobuildsmartmodelsandmakecoolpredictions.IfyouchoosetotakethiscourseandearntheCourseracoursecertificate,youwillalsoearnanIBMdigitalbadge.LIMITEDTIMEOFFER:Subscriptionisonly$39USDpermonthforaccesstogradedmaterialsandacertificate.UserLearnerCareerOutcomesCareerdirection23%startedanewcareeraftercompletingthesecoursesCareerBenefit25%gotatangiblecareerbenefitfromthiscourseCareerpromotion11%gotapayincreaseorpromotionFlexibledeadlinesFlexibledeadlinesResetdeadlinesinaccordancetoyourschedule.ShareableCertificateShareableCertificateEarnaCertificateuponcompletion100%online100%onlineStartinstantlyandlearnatyourownschedule.BeginnerLevelBeginnerLevelHourstocompleteApprox.13hourstocompl