View
4
Download
0
Category
Preview:
Citation preview
Build andDesign Projects
Master In-Demand Skills
Earn a Post-Graduatedegree in 4 months
Industry endorsedcurriculum
WWW.IMARTICUS .ORG
Knowledge Partner:
DATA SCIENCEPRODEGREEDATA SCIENCEPRODEGREE
INDUSTRY CREDENTIALS TO ACCELERATE CAREERS
Global Leader in Digitally-PoweredBusiness Process Management & Services
DATA SCIENCEPRODEGREE
Knowledge Partner
TheDataScientistProdegreeisa200-hourprogram
thatdeliversadeepunderstandingofDataAnalysisand
Statistics,alongwithbusinessperspectivesandcutting-
edgepracticesusingSAS,R,Python,HiveandSpark.
COMPREHENSIVE COVERAGE
Youwillspendapproximately100
hoursofthisprogramgettinghands-
onwithindustryprojectsandbuilda
portfolioofdemonstrablework.
PROJECT BASEDLEARNING
Weprepareyoutobejob-readywithinterview
preparation,resumebuildingworkshopsand1-
1mockinterviewswithindustryexperts.
CAREER READINESS
Theprogramisco-createdwithGenpactas
theKnowledgePartnerandcomeswitha
cuttingedgeindustry-alignedcurriculum
thatisco-createdwithGenpact.
ENDORSED BY GENPACT
TheProdegreeisdeliveredintwo
modes:ClassroomandOnline(Live
VirtualClasses)tocatertoyour
learningpreferenceswhileensuring
maximumlearningefficacy.
PROGRAM DELIVERY
INNOVATIVELEARNINGMETHODOLOGY
LiveInstructor-ledVirtual
Classeswithexpertfacultyfor
real-timelearningforlearning
asperyourconvenience
Self Paced Instructor Videos
Active,self-paced,data-drivenlearning
throughHDvideos
68 Hours
Online Delivery
132 Hours
Classroom Delivery
132 Hours
TWODELIVERYMODESTOCHOOSEFROM
Classroomtrainingby
expertfacultywith
industrycredentials
atourImarticuscenters
WHY A PRODEGREE?
VerifiedCertificationEarnmeaningfulcertificationsvalidatedbyrigorouscoachevaluations
PLACEMENT AT GLOBALLYREPUTED COMPANIES
VERIFIEDPRODEGREECREDENTIAL
JOB READYPROJECT
PORTFOLIO
EXPERIENTIALLEARNING AT COMPETITIVE
PRICE
FLEXIBLELEARNING
PATHS
GenpactEndorsedCuttingedgeindustry-alignedcurriculumandlearningmethodologyvettedbyGenpact
ExperientialLearningDeliveryusingcombinationofself-pacedvideos,livelectures,casestudies,projectworkandsimulations
GuestLecturesPeriodicguestlecturesbyGenpactLeadershiponindustrybestpractices
CustomizedLearningFlexiblelearningpathstocatertobothnovicesandexperiencedprofessionals
Base SAS24 Hours
R Basics 32 Hours
Business Case: Managing Credit Risk 1 Hours
Linear Regression 4 Hours
Case Study on Loss Given Defaultusing Linear Regression using R 4 Hours
Logistic Regression 4 Hours
Case Study on Default Modellingusing Logistic Regression using R8 Hours
Understanding Data8 Hours
SAS - Store Data Analytics8 Hours
Project 1 Submission8 Hours
www.imarticus.org
DataStructures|DataTypes|TypeCasting|DataImport/Export|Loops&Functions|Procedures
DataStructures|DataTypes|DataImport/Export|ConditionalStatements|Loops&Functions
MeaningofCreditRisk|ImpactofCreditDefault|SourcesofDataforManagingRisk|UnderstandingLossgivenDefault|UnderstandingDefault
CovarianceandCorrelationinData|MultivariateAnalysis|AssumptionsofLinearity|HypothesisTesting|LimitationsofRegression
ExtracttheDatainR|UnivariateAnalysisofData|ApplyDataTransformations|BivariateAnalysis|MulticollinearityinData|IdentifyHetroscedasticity|
ModellingofData|ModelSignificanceTest|BuildModelonTrainingDataSet
ReasonforusingLogisticRegression|TheLogisticTransform|LogisticRegressionModelling|ModelOptimization|UnderstandingtheROCCurve
ExtracttheDatainR|UnivariateAnalysisofData|ApplyDataTransformations|BivariateAnalysis|IdentifyMulticollinearityinData|IdentifyHetroscedasticity|
VariableSignificanceIdentification|ModelSignificanceTest|ValidatetheModelPerformance|DrawingtheROCCurve|EstimatingtheClassificationModelHitRatio|
IsolatingtheClassifierforOptimumResults
DefinitionofData|MeaningofVariable|UnderstandingDataTypes|MeasuresofCentralTendencyinData|UnderstandingSkewnessinData|MeasuresofDispersion|
UnderstandingDataDistribution
ExtractingRetailDataintoSAS|CleaningtheData|TransformingtheData|LoadingtheDataforReportingandAnalysis|ReportingandPresentingtheData
Project1-StoreDataAnalytics
KeyLearningOutcomes-ETL,AnalysisandReportingusingSAS
CURRICULUM
Semester 1: Base SAS
Semester 2: R Programming 78 Hours
48 Hours
Support Vector Machines4 Hours
Case Study on Default Modellingusing Suppport Vector Machinesusing R6 Hours
Business Case: Intrusion in IT Network1 Hours
IntroductiontoSVM|ClassificationasaHyperPlaneLocationProblem|MotivationforLinearSupportVectors|SVMasaQuadriaticOptimizationProblem|NonLinear
SVMs|IntroductiontoKernelFunctions
BuildtheModel|TrainingtheModel|TestingandValidation|TuningtheModel
MeaningofIntrusioninITNetwork|CostofIntrusion|MeaningofIntrusionDetectionSystem
Decision Tree & EnsembleLearning8 Hours
TheoryofEntropy&InformationGain|StoppingRules|OverfittingProblem|CrossValidationsforOverfittinigProblem|PrunningasaSolutionforOverfitting|
EnsembleLearningNotion|ConceptofBootstrapAggregation|ConceptofRandomForest
Case Study on Network IntrusionDetection using Decision Trees & Ensemble Learning using R6 Hours
Data Structures in Python Used for Data Analysis8 Hours
Case Study on Default Modellingusing Logistic Regression using Python8 Hours
Case Study on Default Modellingusing Suppport Vector Machines using Python4 Hours
Case Study on Network IntrusionDetection using Decision Trees & Ensemble Learning using Python6 Hours
Project 2 and 3 Submission2 Hours
HIVE Basics5 Hours
Business Case: Pricing Analytics1 Hours
Project 2 and 3 Submission2 Hours
www.imarticus.org
ValidatetheModelPerformancePerformCrossValidations|SelecttheBestSplit|PrunetheTree|PredictandValidatePerformanceofModel
DataStructures|DataTypes|DataImport/Export|Numpy/Pandas|Loops&Functions
UnivariateAnalysisofData|ApplyDataTransformations|BivariateAnalysis|BuildModelonTrainingDataSet|PredictusingTestingDataSet|ValidatetheModel
Performance
BuildtheModel|TrainingtheModel|TestingandValidation|TuningtheModel
ExtracttheDatainPython|ConvertDataintoArray|StandardizetheIndependent|Variables|PredictusingTestingDataSet|ValidatetheModelPerformancePerform
CrossValidations|SelecttheBestSplit|PrunetheTree|PredictandValidate|PerformanceofModel|ImproveModelPerformanceusingBaggingandRandomForest
SetUp|DataLoadinginHDFS|CreatingHIVETables|CreatingORCFile|QueryingHIVEdata
UnderstandingPricingasaBusinessFunction|ImportanceofPricingAnalytics|SourcesofPricingData
Project2-CreditRiskAnalytics
KeyLearningOutcomes-LogisticsRegression,SupportVector&MachinesusingPython
Project3-NetworkIntrusionDetection
KeyLearningOutcomes-DecisionTrees&EnsembleusingPython
Project2CreditRiskAnalytics
KeyLearningOutcomes-LinearandLogisticsRegression,SupportVectorMachinesusingR
Project3-NetworkIntrusionDetection
KeyLearningOutcomes-DecisionTrees&EnsembleusingR
CURRICULUM
Semester - 3: Python
Semester 4 : Hive, Spark , Tableau
Case Study on Pricing Analyticsusing HIVE8 Hours
LoadandExtractDataintoHDFS|TransformDatainHive|LoadDatainHiveTables|WriteQueriesPrepareAnalysisOutput|ShowtheReportsinZepplin
28 Hours
46 Hours
CURRICULUM
SPARK Basics5 Hours
Business Case: UnderstandingCustomer Life Cycle1 Hour
Case Study on Telecom Customer Churn using Spark8 Hours
Tableau Basics 8 Hours
Interview and Resume Preparation 4 Hours
Mock Interviews - HR and Domain 4 Hours
Project 4, 5 and 6 Submission 2 Hours
SetUp|CreatingaRDD|QueryingaRDD
UnderstandingCustomerLifeCycle-Acquisition/Consumption/Saturation/Churn|ImpactofCustomerChurn|ChurnIdentification
CaseStudyonTelecomCustomerChurnusingSpark|ExtractDatainSpark|PerformaLogistic|StochasticGradientDescentModel|PredictusingTestingDataSet|
ValidatetheModelPerformance
IntroductiontoVisualization|WorkingwithTableau|DataOrganization|AdvancedVisualization|Mapping|EnterpriseDashboards|DataPresentation
AnalyticsExpertsGuideYouonHowtoPrepareforTechnicalInterviewRoundwithTips,TricksandaQuickRefresheronConceptsLearnt
1:1orPanelMockInterviewswithIndustryVeteranstoCleartheHRandTechnicalRoundofInterviewstoGiveYouConfidencetoFaceRealWorldScenarios
Project4-PricingAnalytics
KeyLearningOutcomes-BigDataAnalyticsandReportingusingHIVE
Project5-TelecomChurnAnalytics
KeyLearningOutcomes-InMemoryBigDataandLogisticsRegressionusingSpark
Project6-Reporting
KeyLearningOutcomes-VisualizationforStructuredandUnstructuredDatausingTableau
www.imarticus.org
HANDS-ON PROJECTSStudentsgethands-onwithindustryprojectsandbuildaportfolioofdemonstrablework
Store Data Analytics& Reporting
Credit Risk Analytics Network IntrusionDetection Analytics
Pricing Analytics inBullion/Commodity
Market
Visualizing Vanilla,Analytical, Un/Structured
Data
Telecom Churn Analytics
www.imarticus.org
TOP COMPANIES HIRING FOR BUSINESS ANALYTICS
GENPACT
INDUSTRY LANDSCAPE
Average Salariesin AnalyticsAmongthehighestpayingjobsglobally!!
THE SEXIEST JOB DATA SCIENTIST
ST OF THE 21 CENTURY`4-6LAKHS
`6-8LAKHS
`9-15LAKHS
`15-20LAKHS
`20-35LAKHS
`35+LAKHS
ANALYST
SENIOR ANALYST
MANAGER
AVP
VP
DIRECTOR
0-2 Years
2-4 Years
4-6 Years
6-10 Years
10-15 Years
15+ Years
www.imarticus.org
www.imarticus.org
TheDataScienceprodegreeisco-createdwithGenpactastheKnowledgePartnerandcomeswithacuttingedgeindustry-alignedcurriculumandlearningmethodology.Youwillbenefitintermsof:
Genpactisagloballeaderindigitally-poweredbusinessprocessmanagementandservicesacrosstechnology,analytics,and
organizationaldesign.ThecompanyboastsnetrevenuesofUS$2.46billionwithmorethan70,000employeesspreadacross25
countriesand1/5thoftheFortuneGlobal500companiesasitsclients.
ABOUT GENPACT
PROJECTEVALUATION
Attheendofeachsemester,Genpactwillevaluateprojectsubmissionsandprovideconstructivefeedback.
GUEST LECTURES & MENTORSHIP
PeriodicguestlecturesbyGenpactmanagementonkey
trendsandreal-worldchallengesplaguingtheindustry.
COLLABORATION WITH GENPACT
INDUSTRY-APPROVED CURRICULUM
Youlearnin-demandskills,soughtaftertoolsandtechniqueswhichare
requiredbytheIndustry.
INDUSTRY SPEAK
“There is a huge talent gap in
Analytics in India. Our approach
has been to work closely with
Imarticus asour trainingpartner.
They bring expertise in training
delivery, while Genpact brings in
industryexposure.Wearehappyto
support this initiative through
guest lectures, projects, data
sharing etc. The Prodegree also
helpsthecreationofalateraltalent
poolforanalyticscompanies.”
Sidhartha ShishooBusiness HR Leader, Genpact
www.imarticus.org
and many more...
Arunhasover14years
experienceinInformation
Technologyandhasconducted
SAStrainingforInfosys,Wipro,
IBM,Genpact,ICICIBank,
RelianceMutualFund.Arunisa
certified,accreditedIT
professionalwhohassuccessfully
trainedmorethan10,000
studentsindifferenttechnologies
likeSASandR.Hehaspreviously
workedasatrainerforcompanies
suchasAptech,NIIT,Ultramax
InfonetEducationPvt.Ltd.,and
VistaarSystemsPvt.Ltd.Hehas
clearedmanyMicrosoft
internationalcertificationssuch
asMCAD,MCPD,MCTSetc.andis
alsoaMicrosoft-certifiedtrainer.
Mohanhas10yearsofexperience
inCoreAnalytics(Sales&IT).His
keydomainexpertiseliesin
domainsrangingfromBanking,
Construction,RealEstate,
Automobile,Component
ManufacturingandRetail.Hehas
alsoworkedwithverticalsranging
fromTraining,Research,Sales,
MarketResearch,Business
Consulting,SalesPlanning,Market
StrategyandIT.Mohanisa
DirectorforS&RAnalytics
involvedinDeliveryofAnalytics
Consulting/TrainingandSIP
PartnersofTCS.Heisalsoa
visitingFacultyforAnalyticsat
variousCollegesandInstitutes.
MohanholdsdegreesinBusiness
AnalyticsandIntelligencefrom
IIM-Bangalore,MBAinMarketing
andBSCinStatistics.
RoneyisaBigDataandHadoop
trainer,mentor&consultant
having20+yearsofexperiencein
thefieldofInformation
Technology.Hehasbeen
conductingtrainingsessionson
BigDataandHadoopfor
corporatessuchastheVirtue
Groupsince2014whenHadoop
wasinitsinfancy.Hehassetup
offshoredevelopmentteamsfor
largeITorganizations,systems
andproceduresandmanaged
multipleaccountsacrossdifferent
geographicallocationsand
successfullyledsoftware
developmentandtestingprojects
onvariousplatforms.Heisthe
FounderofXillonInfotech,which
offerstrainingandconsultingon
BigDatatechnologies.Heis
certifiedbyIBMinBigData
Fundamentals.
Satyahas25yearsofexperience
aligningmulti-milliondollar
InformationTechnology
deploymentswithbusiness
strategyandoperational
processesforFortune1000
companies.Inthepasthehas
beenaManagementConsultant&
anegotiatorandhasconsultedin
theareasofperformance
managementinenterprise
architecture,datamining&
analytics,machinelearning,
patternrecognition,socialmedia
analyticsandbigdata
managementandanalyticsfor
severalstart-upsaswellasmajor
corporatehouseslikeInfosysand
IBM.SatyaisaBE,Electronicsand
CommunicationfromUniversityof
MysoreandaMS,Computer
EngineeringfromFloridaAtlantic
University.
ArunUpadhyay
MohanRai
RoneyJoseph
SatyaSrinivas
INDICATIVE FACULTY
Individuals lookingfor Global Certifications
ToenhancetheirResume
Experienced Professionals inProgramming or Related Fields WithLessthanFourYearsofExperience
Recent Post Graduates BachelorsorMastersinscience,math,
statisticsorcomputerapplications/IT
Awards & Alliances
Toll Free: 1800-267-7679www.imarticus.org|elearning@imarticus.org
CAREERS
2 Interview Prep1 Resume Building 3 Career Guidance
Refiningandpolishingthe
candidate’sresumewith
insidertipstohelpthemland
theirdreamjob
Preparingcandidatestoace
HRandTechnicalinterview
roundswithmodelinterview
Q&A
Doubtclearingaboutthe
industryandcareer
opportunities
THIS PROGRAM ISIDEAL FOR
Recommended