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