POST GRADUATE PROGRAM IN DATA SCIENCE & BUSINESS ANALYTICS
PGP-DSBAP O S T G R A D U AT E P R O G R A M I NDATA SCIENCE& BUSINESSANALYTICSFORMERLY PGP-BABI
HOTTEST JOB OFTHE 21ST CENTURYIn 2020 globalestimate calls for2.7 million jobpostings foranalytics & datascience roles50% datascientists &businessanalysts havea Master’sdegreeBy 2020,India will facea demandsupply gap of2,00,000data scienceprofessionalsANALYTICS8.6% CAGR IT sector28.8% CAGR Indiananalytics industryIndian Analytics Industry is growing rapidlyas compared to IT.G R E AT L E A R N I N GI N D I A' S L E A D I N G P R O F E S S I O N A LL E A R N I N G C O M PA N Y20 750,000 Top Ranked ProgramsLearners2000 160 Industry ExpertsCountries Reached400 Best Ed-tech Companyof the year*EdTechReview Awards 2020*Hiring Partners
PROGRAM BENEFITSIndia’s No.1AnalyticsProgramGreat Lakes is one of the premierbusiness schools in the country andhas been ranked within the top ten inthe country by Outlook, BusinessToday and Business India. Thisprogram has been ranked No. 1 byAnalytics India Magazine fourth timein a row and No. 2 by AnalyticsVidhya.CorporatePartnersThe program is designed, deliveredand endorsed by leading analytical,technology and consulting organizations. Our corporate partners areinvolved in curriculum design,facilitating projects, industrylectures and also suggesting pedagogical improvements.FlexibleLearningThe PGP-DSBA program providesutmost learning flexibility. Learnwhile you earn with online sessions. We accommodate transfercases and sabbaticals and providethe option to catch up even whenyou have missed classes.IndustryRelevantCurriculumThe curriculum combines academicelegance and business relevance tofacilitate the participants learnbasics of management, followed byanalytical techniques and weavesthem with applications fordata-based decision making.Hands onExposureAn integral part of the learningexperience is the use of DataScience and Analytics toolswherein the candidates gethands-on exposure to R, Tableau,SAS (online) and Python.Certificate fromTop B-schoolGet an industry-recognisedcertificate from one of India’stop 10 B schools Great LakesInstitute of Management
PROG R AM PE DAGOGYProgram DeliveryThe program is delivered in an online formatwith 30 weekend mentorship sessionsthat span over 11 months.Online-Learning Management SystemAll candidates have access to the online LMS that hostscontent (lecture recordings, discussion forums, assignments,reading material) and live webinars to enable the candidatescontinue their learning during campus. The LMS provides aninnovative learning environment that encourages collaborative approach between the candidates thus paving the wayfor maximizing learning effectiveness.Capstone ProjectAll candidates would be pursuing an application orientedcapstone project in the field of Business Analytics. Theproject shall be mentored and evaluated by faculty fromGreat Lakes or Industry. The project will be presented tothe faculty board as part of the requirement for successfulcompletion of the program.Industry Perspective LecturesThis is an important component of the program thatcomplements and substantiates the learning with an appliedorientation. The participants get the opportunity to listen toeminent speakers from leading analytics companies andassimilate the best practices discussed by them in theirlectures.Experiential LearningThis program is designed to transform candidates tobusiness-ready data science and analytics professionalsthrough hands-on experiential learning on relevant tools.This is achieved through practice exercises, hackathons,quizzes and assignments on software packages such as R,Tableau, SAS (online) and Python.
PROGRAM CURRICULUMFOUNDATIONSIntroduction to Analytics Python/R for Data Science Introduction to Python/R Dealing with Data using Python/R Visualization using Python / R Python-Markdown Missing Value Treatment Exploratory Data Analysisusing Python/RMarketing & CRM Core concepts of marketing Customer Life Time Value Marketing metrics for CRMStatistical Methods forDecision Making Descriptive Statistics Introduction to Probability Probability Distributions Hypothesis testing and estimation Goodness of FitBusiness Finance Fundamentals of Finance Working Capital Management Capital Budgeting Capital StructureSQL Programming Introduction to DBMS ER diagram Schema design Key constraints & basics ofnormalization Joins Subqueries involving joins &aggregations Sorting Independent subqueries Correlated subqueries Analytic functions Set operations Grouping and filteringANALYTICS TECHNIQUESOptimization Techniques Linear programming Goal Programming Integer Programming Non-Linear ProgrammingPredictive Modeling Multiple Linear Regression(MLR)for Predictive Analytics Logistic Regression Linear Discriminant AnalysisAdvanced Statistics Analysis of Variance Regression Analysis Dimension Reduction TechniquesData Mining Introduction to Supervised andUnsupervised learning Clustering Decision Trees Random Forest Neural Networks
PROGRAM CURRICULUMANALYTICS TECHNIQUESTime Series Forecasting Introduction to Time Series Correlation Forecasting Autoregressive MovingAverage (ARMA) models Autoregressive IntegratedMoving Average(ARIMA) models Case StudiesMachine Learning Handling Unstructured data Machine learning Algorithms Bias Variance trade-off Handling unbalanced data Boosting Model ValidationDOMAIN EXPOSUREMarketing & Retail Analytics Marketing and RetailTerminologies: Review Customer Analytics KNIME Retail Dashboards Customer Churn Association Rules MiningFinance & Risk Analytics Why Credit Risk-Using amarket case study Comparison of Credit Risk Models Overview of Probability ofDefault (PD) Modeling PD Models, types of models,steps to make a good model Market Risk Value at Risk- using stock case study Fraud DetectionWeb & Social Media Analytics Web Analytics: Understandingthe metrics Basic & Advanced Web Metrics Google Analytics: Demo & Hands on Campaign Analytics Text MiningSupply Chain &Logistics Analytics Introduction to Supply Chain Dealing with Demand Uncertainty Inventory Control & Management Inventory classification Methods (EOQ) Inventory Modeling (Reorder Point,Safety Stock) Advanced Forecasting Methods Procurement Analytics
PROGRAM CURRICULUMVISUALIZATION AND INSIGHTSData Visualization using Tableau Introduction to Data Visualization Introduction to Tableau Basic charts and dashboard Descriptive Statistics, Dimensionsand Measures Visual analytics: Storytellingthrough data Dashboard design & principles Advanced design components/principles: Enhancing the powerof dashboards Special chart types Case Study: Hands on using Tableau Integrate Tableau with Google SheetsTOOLS & MOREEXPERIENTIAL LEARNINGCapstone ProjectCase StudiesAssignmentsHackathons
CAPSTONE PROJECTSRetailE-commerceActionable insights for improvingsales of a consumer durables retailerusing POS data analyticsCustomer engagement and brandperception of Indian ecommerceA social media approachTechniques used: Market Basket Analysis,RFM (Recency-Frequency- Monetary)Analysis, Time Series ForecastingTechniques used: Text Mining, KmeansClustering, RegressionTrees, XGBoost, Neural NetworkWeb & Social MediaBankingTapping social media exchanges onTwitter- A case study of the 2015Chennai floodsDeveloping best prediction model ofcredit default for a retail bankTechniques used: Topic Modeling using 9Latent Dirichlet Allocation. K-Means &Hierarchical ClusteringTechniques used: Linear DiscriminantAnalysis, Logistic Regression, NeuralNetwork, Boosting, Random Forest, CARTSupply ChainHealthcareDeveloping a demand forecastingmodel for optimizing supply chainPrediction of user’s mood usingsmartphone dataTechniques used: Text Mining, KmeansClustering, Regression Trees, XGBoost,Neural NetworkTechniques used: Logistic Regression,Random Tree, ADA Boost, Random Forest,KSVMRetailInsuranceMarket basket analysis for consumerdurablesPersonal insurance digital assistantTechniques used: Market Basket Analysis,Brand Loyalty AnalysisEntrepreneurship/Start UpsStart-up insights through dataanalysisTechniques used: Univariate and BivariateAnalysis, Multinomial Logistic Regression,Random ForestTechniques used: NLP (Natural LanguageProcessing), Vector Space Model, LatentSemantic AnalysisFinance & AccountsVendor invoicing grief projectTechniques used: Conditional InferenceTree, Logistic Regression, CART andRandom Forest
F A C U LT YDr. Bappaditya MukhopadhyayCo-Director, Gurgaon, Professor - Analytics &Statistics, Great Lakes Ph.D (Indian StatisticalInstitute)Dr. Kumar MuthuramanUniversity Distinguished Teaching Professor McCombs School of Business, University ofTexas at Austin Director, Center for Researchand Analytics, H. Timothy (Tim) HarkinsCentennial Professor, University Ph.D. - StanfordUniversityProf. Dan MitchellDr. P. K. ViswanathanCo-Director, Chennai, Professor - Analytics &Operations, Great Lakes Ph.D (MadrasUniversity), MBA (FMS Delhi)Dr. Srabashi BasuProfessor - Analytics & Quantitative Methods,Great Lakes Ph.D (Penn State University,USA),MSc Statistics (University of Calcutta)Dr C P GuptaProfessor, Department of Financial Studies,University of Delhi M.Phil. (Finance), Ph.D. (Finance)Clinical Assistant Professor atThe University of Texas at AustinPh.D, University of Texas at AustinMS, Mathematics, New York UniversityVisiting Professor at IIMs, ICAI Delhi, MDI Gurgaon,Great Lakes Institute of ManagementDr. Jones MathewDr. Mudit KulshreshthaProf. Prashant KoparkarProf. Rajesh JakhotiaProfessor, Great Lakes Institute of ManagementPh.D, Indian Institute of Foreign Trade (IIFT),MBA - Marketing, BIT-Mesra, RanchiCorporate Trainer and Consultant - Machine Learning25 years of experience in IT industry(8 years in UK & USA)Prof. Snehamoy MukherjeeProfessor - Analytics, Great Lakes, Ph.D (IGIDR,Advanced Research Institute of Reserve Bank of India)Adjunct Faculty, Great Lakes, SMP (IIM, Calcutta)Prof. Abhinanda SarkarAdjunct Faculty, Great Lakes MSc - Mathematicsand Scientific Computing (IIT, Kanpur)Consultant Data Scientist, Compegence, B.Stat.,M.Stat. (Indian Statistical Institute) Ph.D. inStatistics (Stanford University)Prof. Vivek AnandDr. Rohit KapoorAdjunct Faculty, Data Visualiation, Great LakesMBA (Monash University Melbourne Vic.)Dr. Narayana DarapaneniProfessor, Great Lakes Institute of ManagementPhD (Pierre & Marie Curie University, Paris)Prof. Dipayan SarkarConsultant, Author, Visiting Faculty - Great LakesInstitute of Management. Master in Economics Karnatka University,Post Graduate Program inBusiness Analytics IIT Stuart School of BusinessProf. Gurumoorthy PFaculty, Data Science And Machine LearningProf. Saurabh AggarwalProfessor, HBTI Kanpur. B.Tech, Indian Instituteof Technology, Delhi. M.Tech, Indian InstituteAssociate Professor, IIM IndoreProf. Krishna MohanSr. Manager - Technology, Thomson ReutersDr. Narain GuptaAssistant Professor, MDIProf. RaghavshyamRamamurthyAdjunct Faculty, Data VisualizationProf. Vinit ThakurData Science Consultant & Trainer
INDUSTRY GUESTSMr. Lakshmi NarayananVice ChairmanThe Structure of the PGP-DSBAprogram is very interesting, in whichlearning happens both inside andoutside the class.Mr. Lakshmi NarayanVice Chairman,Cognizant Technology SolutionMr. Abhinav KumarMr. Sanjoy Roy ChoudhuryAVP, Decision AnalyticsVice PresidentMr. Muthu RamanujamMr. Titir PalHead, Retail Bank Finance AnalyticsDirector, Research & AnalyticsMr. Sundar VaradarajanSenior Vice President & Practice Head,Bi & AnalyticsMr. Manu ChandraDr. Satish RaghavendranVice PresidentMr. Rajarajan TRCo-Founder & DirectorPrincipal Data ScientistMr. Suresh KrishnaswamyMr. Manish GuptaDirector, AnalyticsMr. Eron KarDirector & Head, Analytics CoeSenior Applied ScientistMr. Anshuman Gupta, PhDDirector, Data ScienceMr. V Shekhar AvasthyDr. Vinay M RChief Data Scientist & PrincipalConsultantPractice Lead Data Scientist
MEETTHE CLASSThe PGP-DSBA class consists of professionalsacross various industries, with a wide rangeof experience across roles in technology,consulting, analytics and M.Sc/MS15%M.E./M.Tech50%B.E /B.TechB.Com/BBA/BSc42%IT & ERIENCE15 years13%14%35%12-15 years2-5 yearsOthers16%12%5-8 yearsConsulting, Research& Analytics10%Automobile &Manufacturing3% Telecomm3% Healthcare1%Media1%Power& Energy23%8-12 yearsThe PGP-DSBA class comes from leadingorganizations. Some of their currentemployers include:
STUDENTS’ SPEAK“Capstone project during the program was a great learning experience andhelped me immensely during my statistical modeling projects.”VishranthSenior Business Analyst“I finally chose GL, being a blend of industry expertise and highly experiencedteaching faculty. It’s a reputed brand in the management space with a focus onpractical and tie-ups with many analytical firms. I did a compact yet quitepowerful one-year course in Data Science and Analytics. Of course, placementassistance during and after course completion helped many candidates.”Vilas WakaleIndependent Consultant“The choice of Great Learning program over several others was a simple decision as this program allowed a blend of practical industry exposure and real lifecapstone project interspersed with domain knowledge through eminent facultymembers and industry guests alike. Moreover, assignment-led assessmentapproach and a very robust LMS provided was thoroughly a rewarding experience.”Amit MadanCountry Manager“PGP-DSBA is a very targeted and focused course for professionals wanting tobreak-through in the analytics domain. The course is well structured withrespect to content and is backed by great faculty and thus providing a solidplatform to foray into the analytics domain.”Karan SeghalAssociate Vice President“It’s not really about learning the tools and techniques rather it has more to dowith critical thinking and how you come up with a solution. I learned it well withGreat Lakes PG Program - DSBA.”Parul OberoiEngagement Manager
CAREER SUPPORTGL EXCELERATE CAREER FAIRWe conduct regular career fairs in various cities to connect our students toindustry opportunities. Our recent GL Excelerate saw 12 hiring partners likeAccenture, HSBC, Ust-Global, Rakuten, Myntra, DXC Technologies, Tredence,Brillio, TheMathCompany, AB InBev etc. conduct over 300 interviews forpositions such as Business Analyst, Data Analyst, Data Scientist etc.E-PORTFOLIO & RESUME BUILDING SESSIONSAn e-portfolio is a snapshot of the all the projects done and skills acquiredduring the program that is shareable across social media channels. We alsohelp you build your resume to highlight your data science skill-set along withyour previous professional experience.PERSONAL CAREER COACHGet access to career mentoring depending upon your experience in theindustry with a personal career coach. The coaches are either from the datascience industry or have transitioned into data science and analytics roles sothe candidates benefit from their guidance on how to build a career intoanalytics in a specific industry.GREAT LEARNING JOB BOARDThe program provides candidates access to the Great Learning Job Board.200 organizations approach us with 30-40 job opportunities monthly whichare shared through the job board with our candidates. Our candidates get anaverage salary hike of 48% on a successful transition.
A D M I S S I O N D E TA I L SFEE DETAILSPost Graduate Program in Data Science & Business Analytics 2,25,000 GSTCertificate from11 Month Program 225 hours of learning content13 courses17 real-world projectsPersonalised weekly mentor-driven learningCertificate from The McCombs School of Business at UT Austin and Great LakesDedicated career support through interview preparation and 1:1 mentorshipAccess to GL Excelerate: Curated job portal and exclusive career fairs2-month capstone project guided by an industry expertAccess to GL Confluence: Industry and peer networking eventsThe faculty panel willreview all the applicationsThe shortlisted candidateswill then be going throughbased on their profiles.round which will then bereviewed.The admissions will beconducted on a rollingbasis and the admissiononce the requisite numberof candidates have takenadmission into theprogram.
P R O G R A M PA R TN E R SGreat Learning’s mission is to make professionals proficientand future-ready. Its programs always focus on the next frontierof growth in industry and currently straddle across Analytics,Data Science, Big Data, Machine Learning, Artificial Intelligence, Deep Learning, Cloud Computing and more. GreatLearning uses technology, high-quality content, and industrycollaboration to deliver an immersive learning experience thathelps candidates learn, apply, and demonstrate their competencies. All programs are offered in collaboration with leadingglobal universities and are taken by thousands of professionalsevery year to secure and grow their careers.Great Lakes is India’s leading business school with campusesin Chennai and Gurgaon. Led by exceptional faculty andsteered by an outstanding advisory council, Great Lakes isranked amongst India’s top 10 business schools and is rankedas the best in the country when it comes to learning datascience and analytics. Learning Data Science from Great Lakesensures you get the industry credibility and acceptance as youlook to build your career.The University of Texas at Austin’s McCombs School ofBusiness is ranked Second for its Master of Science in BusinessAnalytics (MSBA) degree in 2018. McCombs is a premierbusiness school at a world class public research university. Itcultivates principled leaders and develop ideas throughhigh-quality instruction, experiential learning, and the pursuitof relevant, groundbreaking research, shaping those who willshape tomorrow and solve the most challenging problems.15
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Operations, Great Lakes Ph.D (Madras University), MBA (FMS Delhi) Dr. Kumar Muthuraman University Distinguished Teaching Professor - McCombs School of Business, University of Texas at Austin Director, Center for Research and Analytics, H. Timothy (Tim) Harkins Centennial Professor, University Ph.D. - Stanford University Dr. Srabashi Basu
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