40+ resources for Python statistical analysis. Understand statistics with Python and topics that you need to know to excel in data science today!communityTutorialsCheatSheetsOpenCoursesPodcast-DataFramedChatdatacampDataCampOfficialBlogResourceCenterUpcomingEventsSearchLoginCreateFreeAccountBacktoTutorialsTutorials06262KarlijnWillemsMay17th,2021statisticalmodeling+140+PythonStatisticsForDataScienceResourcesAlistofPythonresourcesfortheeightstatisticstopicsthatyouneedtoknowtoexcelindatascienceDataScienceVersusStatisticsAccordingtoour“LearnDataScienceIn8(Easy)Steps”infographic,oneofthefirststepstolearndatascienceistogetagoodunderstandingofstatistics,mathematics,andmachinelearning.Ifyourememberwell,thenextstepistolearnhowtocode.ButonceyouknowallthePythonyouneedtoknowtododatascience,it’stimetoconsolidatetheknowledgethatyouhavegained.Thestatistictopicsfordatasciencethisblogreferencesandincludesresourcesforare:StatisticsandprobabilitytheoryProbabilitydistributionsHypothesistestingStatisticalmodelingandfittingMachineLearningRegressionanalysisBayesianthinkingandmodelingMarkovChainsThislistisnotexhaustiveofthestatisticsusedindatasciencebutismeanttogetyoustarted.:) Bytheway,ifyou’restilllookingtostartlearningPythonfordatascience,youshouldconsidertakingourIntrotoPythonForDataSciencecourse.ItwillhelpyouapplystatisticswithPython. Learningstatisticsfordatascienceisverypractical,andthat’swhyyoushouldnotforgettoalso(continueto)focusonpracticingthetheoreticalconceptsthatyoumighthavealreadylearnedatthestartofyourdatasciencejourney.Butwhatexactlyisthedifferencebetweenstatisticsanddatascience?Theyareoftenconfounded,andsomesaythatthereisnodifferenceandthatthedatascientistisactuallyastatistician.Butintheend,ifyouputthoseopinionsasideforamoment,mostcanagreeonthefactthatstatisticsisoneofthecorecomponentsusedindatascienceandisoneofthecorecomponents.StatisticswithPythonToday’spostwillfocusonhowyoucanlearnstatisticswithPython.Includingstatisticalanalysistopicsyouwillneedtoexploreonyourdatascien