Download COURSE: Statistics for Data Science I

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.