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Ph.D.Schoolin AnalyticsforEconomicsandBusiness COURSE:StatisticsforDataScienceI BusinessIntelligenceandDataMining Reference:MaurizioCarpita,SilviaBiffignandi Adressofthefirstreference: MaurizioCarpita Dept.ofEconomicsandManagement UniversityofBrescia Univ.tel.:00390302988642 Mobile:00393396852101 e‐mail(s):[email protected] Teachers:MaurizioCarpita,PaolaZuccolotto,MaricaManisera Coursedescriptionandobjectives Withtherapiddevelopmentsininformationandinternettechnologies,statisticaldatascience approachanddata‐analyticthinkingarenecessaryforextractingusefulknowledgeandvalue fromthevastamountsofdata.Thiscourseintroducetobusinessintelligenceanddatamining for economics, marketing and financial risk analytic modeling, and it is structured in three parts: a) statistics and data science, b) statistics and business analytics, and c) statistical learninganddatamining. Outline a)StatisticsandDataScience ‐ Datascienceandbusinessintelligence ‐ Foundationofintelligentdataanalysis ‐ Dataminingandknowledgediscovery b)StatisticsandBusinessAnalytics ‐ Manipulatingandexploringdata ‐ Buildingstatisticalmodels ‐ Statisticalmodelselection c)StatisticalLearningandDataMining ‐ Regressionandclassificationtrees ‐ Randomforests,boostingandbagging ‐ Clusteringandsegmentationalgorithms ‐ Neuralnetworksandsupportvectormachine References StatisticsandDataScience: Berthold M.R., Hand D.J. (Eds.) (2007). Intelligent Data Analysis – An introduction, 2nd Ed., Springer‐Verlag,Berlin. Berthold M.R., Borgelt C., Höppner F., Klawonn F. (2010). Guide to Intelligent Data Analysis, Springer‐Verlag,London. ProvostF.,FawcettT.(2013).DataScienceforBusiness,O’ReillyMediaInc.,Sebastopol,CA. Stanton J. (2013). An Introduction to Data Science, Syracuse University, Ver. 2, Creative CommonsLicense,http://jsresearch.net/wiki/projects/teachdatascience. Zumel N., Mount J. (2013). Practical Data Science with R, Manning Publ. Co., Shelter Island, NYC. StatisticalLearningandDataMining: HastieT.,TibshiraniR.,FriedmanJ.(2009).TheElementsofStatisticalLearning:DataMining, Inference,andPrediction,2ndEd.,Springer,www‐stat.stanford.edu/~tibs/ElemStatLearn/. James G., Witten D., Hastie T., Tibshirani R. (2013). An Introduction to Statistical Learning withApplicationsinR,Springer,London. KuhnM.,JohnsonK.(2013).AppliedPredictiveModeling,Springer,London. WilliamsG.(2011).DataMiningwithRattleandR,Springer,NYC. ZhangH.,SingerB.H.(2010).RecursivePartitioningandApplications,2ndEd.,Springer,NYC. StatisticsandBusinessAnalytics: JankW.(2011).BusinessAnalyticsforManagers,UseR!,Springer,NYC. OhriA.(2012).RforBusinessAnalytics,Springer,NYC. LedolterJ.(2013).DataMiningandBusinessAnalyticswithR,Wiley&SonsInc.,NewJersey. Othersreferencesforapplications ProgrammingwithR: TeetorP.(2011).25RecipesforGettingStartedwithR.,O’ReillyMediaInc.,Sebastopol,CA. Adler J. (2012). R in a Nutshell – A Desktop Quick Reference, 2nd Ed., O’Reilly Media Inc., Sebastopol,CA. MatloffN.(2011).TheArtofRProgramming,NoStarchPressInc.,SanFrancisco,CA. ChambersJ.M.(2008).SoftwareforDataAnalysis‐ProgrammingwithR,Springer,NYC. VerzaniJ.(2011).GettingStartedwithRStudio,O’ReillyMediaInc.,Sebastopol,CA. van der Loo M.P.J., de Jonge E. (2012). Learning RStudio for R Statistical Computing, Packt PublishingLtd.,Birmingham. ProgrammingwithPythonandHadoop: JanertP.K.(2011).DataAnalysiswithOpenSourceTools,O’ReillyMediaInc.,Sebastopol,CA. DowneyA.B.(2011).ThinkStats–ProbabilityandStatisticsforProgrammers,O’ReillyMedia Inc.,Sebastopol,CA. McKinneyW.(2013).PythonforDataAnalysis,O’ReillyMediaInc.,Sebastopol,CA. HarringtonP.(2012).MachineLearninginAction,ManningPubl.Co.,ShelterIsland,NYC. HolmesA.(2012).HadoopinPractice,ManningPubl.Co.,ShelterIsland,NYC. SammerE.(2012).HadoopOperations,O’ReillyMediaInc.,Sebastopol,CA. WhiteT.(2013).Hadoop–TheDefinitiveGuide,3rdEd.,O’ReillyMediaInc.,Sebastopol,CA.