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