Certificate Program in Business Analytics - Brochure



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Certificate Program in Business Analytics - Brochure Introduction This is a lucrative field as a data scientist or an analytical expert can earn double the salary of an IT professional. Srikanth Velamakanni, CEO of Fractal Business analytics is the science of using raw data by extensive use of statistical and quantitative analysis for the purpose of fact based decision making and for predicting business outcomes. According to industry report, global data analytics outsourcing market in 2012 stood at $500 million in 2010, of which Indian service providers delivered $375 million. This accounted for 19 per cent of India s $2 billion offshore knowledge services (KPO) market. By 2015, the data analytics market in India is expected to reach $1.15 billion to become 21 per cent of the overall Indian KPO market opportunities of $5.6 billion. Keeping in view of the industry trends, IMT Hyderabad was the first to introduce analytics as an area of specialization in 2011 in its PGDM programs. The analytics courses were taught along with industry practitioners from IBM, Cisco, Accenture, Cognizant, WNS, InRhythm, Gramener, Hackett, Rainman Consulting. The alumni of IMT Hyderabad who had Analytics as one of their specialization courses is currently working in some of the reputed organisations like HCL Technologies, TCS, Accenture, Deloitte, InRhythm, e-clerx, Capital First, Infiniti Research, Factset, Neilson and IMRB to name a few. The success of our alumni in a short span of four years is evidence that the program has been well received by industry. In the current year institute is offering the certificate program to working executives desirous of upgrading their skills or seeking a change in career path. The certificate program in Business Analytics offerred by IMT Hyderabad has been designed to provide knowledge of business analytics and data handling methods that can be used for fact based decision making. Program Objectives The program will equip participants to: Understand and articulate a business problem and convert it into a viable Analytics question Apply Data visualization for exploratory analysis and communicate effectively to diverse audience Evaluate various analytical approaches and select the most appropriate for the given problem Build Analytics solutions and assess their effectiveness; Apply knowledge and develop solutions across a range of functional areas like Marketing Finance, HR and Operations.

Target Audience The program is intended for: Any Graduate with minimum one year work experience and minimum 50 percentage marks in the graduating examination. Professionals with a strong quantitative aptitude. Professionals desirous of upgrading their knowledge and skill sets. Professionals desirous of a starting a career in Analytics. Design Candidates will be short-listed based on their past academic record, quality of work experience. 6 months of classes in the campus. One weekend in a month Total of 72 contact hours Classroom sessions will be complemented by assignments and projects. Duration Start Date: Oct 3, 2015 End Date: March, 2016 Content Module-I (Foundation Module) Fundamentals of Business Statistics (a) Descriptive Statistics (b) Hypothesis Testing (c) ANOVA Business Analytics Process (a) Extracting and cleaning data (b) Data Visualization (c) Data Reduction (d) Data Partition (e) Model Selection (f) Model Evaluation (g) Scoring New Data (h) Results Presentation 1

Module-II (Techniques-I) Predictive Modeling (a) Multiple Regression (b) Neural Networks (c) Decision Trees Classification Techniques (a) Logistic Regression (b) Discriminant Analysis (c) K-Nearest Neighbors (d) Naïve Bayes Module-III (Techniques-II) Clustering Techniques Affinity Analysis Web Analytics Text Analytics Module-IV (Applications Areas) Marketing Analytics Financial Analytics Operations Analytics HR Analytics Delivery The program would be delivered by using several pedagogical tools such as Interactive classroom sessions Case Studies Statistical software packages such as MS-Excel, SPSS,SAS, SAS Miner and R Mini Projects Assignments Eligibility Criteria The participants in this program must have a Bachelor s degree in Engineering, Business, Science, Commerce or Arts with mathematics as one of the courses in their Bachelor s program. A strong aptitude in quantitative skills is desirable. A work experience of at least one year is desirable for participants in the program. 2

Certificate Program Fee On successful completion of the program the participants would be awarded a Certificate in Business Analytics by IMT Hyderabad. The total program fee is Rs 70,000 + taxes (as applicable) per participant. Payment Schedule Fee includes tuition and course material, refreshments, food and accommodation during class days. Participants will be provided single room accommodation in campus. Fee is not refundable. The fee shall be paid in full before commencement of classes. Fee to be paid by Demand Draft drawn in favor Institute of Management Technology payable at Hyderabad Last date has been extended to September 20th, 2015, completed Application forms (attached) along with application fees of Rs 500/- should reach us before last date. Contact Details Prof. Kalyan C. Chejarla Chairperson- Corporate Relations E: kalyan@imthyderabad.edu.in T: 040 3046 1690 M: +91 7306189506 3

Faculty Profile Dr. Surajit Ghosh Dastidar PhD, MBM, Visiting Scholar at the College of Business, University of Toledo, USA. He has around 13+ years of experience in research, teaching and industry. He is the recipient of Outstanding Management Teacher Award and Young Management Researcher Award from AIMS International. He has designed, developed and taught courses on Marketing Analytics, Predictive Modeling, Business Intelligence and Data Mining using Base SAS and SAS Enterprise Miner to MBA, Executive MBA and Doctoral Students. He has published in journals such as Journal of Statistical Software, Journal of Advances in Management Research and International Journal of Applied Strategic Management among others Dr. Sridhar Vaithianathan PhD in Management from ICFAI University, Dehradun. He received his MBA and BE degrees from National Institute of Technology (NIT), Warangal and M.S. University, Tamil Nadu respectively. He is also a NET qualified faculty in Management Studies. He has spent about a year at University of Toledo, Ohio, USA as a Visiting Scholar during Aug 2007 June 2008. He has around 13+ years of experience in research, teaching and industry. He teaches subjects related to information systems and data analytics to MBA students. He has published in journals such as Electronic Commerce and International Journal of Innovation, Management and Technology among others. Dr. Kaushik Bhattacharya Prof. Kaushik Bhattacharjee has a Master s degree in Business Management and a Bachelor s degree in Statistics from University of Calcutta. His Ph.D. is in the area of international finance with special focus on price discovery process of Indian ADRs. His areas of teaching include Research Methods, Financial Econometrics, Portfolio Management, Mutual Funds, Fixed Income Securities and Banking subjects. He has also taught Financial Modeling using SAS. Some of the above courses he has taught in the Ph.D. level, for both regular and working executive students. His research interests are Empirical Finance, Statistical Modeling of Empirical Economic and Financial Issues, issues related to banking, Risk Management and Microfinance. Before joining academics he had worked in Banking Industry for about five years wherein he worked in renowned private sector banks in different managerial capacity. He resigned from Banking services as a manager. Dr Sourabh Bhattacharya He has completed his Ph.D. in the area of Supply Chain Management. He has been teaching courses such as Quantitative Methods, Operations Management, Project Management and Quality Management for PGP, EPGP and Ph.D. level students. He has also been actively involved in research and management development programs. Few of the clients for which he has been the resource person are GMR Industry Ltd., Hindalco Ltd., Water Health International, Military Engineering Services and Ramky Infrastructures Ltd. Dr. Bhattacharya has a number of national and international research papers and conference under his credit. Dr. Sourabh Bhattacharya has completed his post-graduation in Civil Engineering from Indian Institute of Technology (IIT), Madras. He has worked with L&T Ltd. (ECC Division) in numerous 4

construction projects before joining academia. While in L&T, Dr. Bhattacharya was mainly involved into the planning, designing and execution activities of projects ranging from Industrial Electrification to Highways and Bridges. Dr. Chakrapani Chaturvedula He teaches Project Appraisal and Finance, Investments and Research in Finance using SAS courses. He was also a visiting Scholar at the Martin J. Whitman School of Management, Syracuse University, USA. He is a consultant in the area of Event Driven Analytics and is actively associated with Metrics 4 Analytics (eventvestor.com). Dr. Preeti Sharma She teaches Web and Text Analytics and ERP. She has done her MCA from IGNOU and PhD from NITIE (Mumbai). Her research is published in reputed international journals like Business Process Management, Emerald publication and International Journal of Electronic Customer Relationship Management, Inderscience publication. Dr. Sivaganasundaram Dr.M.Sivagnanasundaram has about two decades of experience in teaching and Industry. He started his career as a Civil Engineer, dealing with large scale commercial and industrial structures. Subsequently on acquiring his MBA from MKU he got in to the field of academics. Prior to Joining IMT Hyderabad, Dr.Siva was working with Kirloskar Institute of Advanced Management Studies, Harihar as an Assistant Professor. Besides teaching Marketing courses at KIAMS he was actively involved with design and delivery of MDPs in the marketing area to the Kirloskar group executives. Dr.Siva have working knowledge on the packages like SPSS, MATLAB and Structural Equation Modeling (SEM) Packages like AMOS and LISREL. 5