Executive Certificate Program in Business Analytics & Big Data from IIM Kashipur

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1 Executive Certificate Program in Business Analytics & Big Data from IIM Kashipur Program Objective This course will help the participants apply the concepts of big data analytics and statistical applications to varied aspects of managerial decision making. Participants will understand how big data technologies and data mining techniques enable data driven decisions. Participants will learn to apply popular and contemporary technologies in big data ecosystem and statistical packages for applications such as predictive analytics, social network analytics, sentiment analytics, market segmentation etc. Participants will also gain knowledge about production grade analytics and best practices using open-source programming language and machine learning frameworks. The program will particularly benefit participants interested in a career in data science, analytics and consulting.

2 Program Highlights Opportunity to earn a Certificate of Completion from IIM Kashipur. Lectures imparted by eminent faculty from IIM Kashipur and industry professionals. Program completely oriented towards imparting practical and application oriented knowledge of tools. Hands on exposure to popular tools in Business Analytics and Big Data R, Palisade, Tableau, Python etc. Knowledge imparted through case studies and class exercises to develop hands on skills that can be applied to practical scenarios. Fully Online Course with LIVE online interactive lectures that provides a real classroom experience in a virtual environment. No isolated learning experience. Seamless technology that can transmit lecture videos effectively at home broadband connection of 512 kbps. User friendly and easy to use technology interface. No expensive and time consuming software/hardware installations required at your end. Virtual classrooms that allow for active interactions with other fellow students and faculty. Convenient weekend schedules. In the event that students miss attending the LIVE lecture on the Virtual Classroom for some reason, students will be granted access to the recorded sessions for a specified number of days/times. TALENTEDGE s Cloud Campus Students on our virtual social learning platform are provided access to course presentations, projects, case studies, assignments and other reference materials as applicable for specified courses. Students can raise questions and doubts either real time during the live class or offline through the Cloud Campus. Learn from Anywhere No need to travel to an institute or training center. Learning continues even if you are traveling or not available at any specific location. You may also learn from the comfort of your home.

3 Syllabus The Executive Certificate Program in Business Analytics and Big Data will include lectures and learning material on the following topics: Introduction to Big Data and Analytics Data Diagnostics Using SPSS [Hands-on] Descriptive statistics Inferential statistics Business Analytics [Illustration with Palisade decision tools] Applications in Corporate Finance Applications in Accounting Applications in Marketing Applications in Operations Introduction to R [Hands-on] Regression Analytics using R [Hands-on] Classification Techniques using R [Hands-on] Clustering using R [Hands-on] Ensemble Methods using R [Hands-on] Econometric Analysis using R [Hands-on] Dealing with Unstructured Data Using R [Hands-on] Text Analysis on Twitter Data Sentiment Analysis Social Network Analysis Using R [Hands-on] Market Basket Analysis Using R [Hands-on] Data Visualization using Tableau [Hands-on] Big Data Eco-System Foundation Principles Hadoop Impala Hive Spark Setting up a Big Data Cluster in Amazon ECS or Similar Introduction to Big Data Stacks Deploying Big Data Cluster Staging and Managing Big Data [Hands-on] Introduction to Data Warehousing Introduction to ETL components and Scripting Data Science and Big Data Using Python [Hands-on] Case studies on machine learning at scale

4 Program Director Dr. Venkataraghavan K Assistant Professor, Chair of IT and Systems Dr. Venkataraghavan holds a Ph.D. in Information Systems from the Indian Institute of Technology Madras. His research involves the incorporation of consumer behavioural aspects into the design of Information Systems, specifically Electronic Negotiation Systems and the adoption of Emerging Information Technologies. His work has been published in IT journals and conferences such as Group Decision and Negotiation, Information Systems Frontiers, Management Research Review, GDN Annual Meeting, Design Science Research in Information Systems, et cetera. Dr. Venkataraghavan has an industry experience of eight years. Before joining academia, he worked as a principal data scientist at a telecom analytics start-up on Big Data Analytics. Earlier, he was an ERP package solution consultant at IBM and NTT India. As a data scientist, he had developed predictive models for customer segmentation and multi-brand loyalty. His current interests include the application of machine learning techniques to combine insights from Big Data and Market Research and the development of Big Data sampling strategies for Market Research. He trains industry participants on the application of machine learning techniques using open-source software. Prof. Mayank Sharma Assistant Professor Dr. Mayank Sharma is an Assistant Professor at IIM Kashipur. He completed his Fellow Programme in Management from the IIM Lucknow in IT & Systems. He also holds engineering degree from NIT, Calicut, India. Prior to academia he has worked at Larsen & Toubro and Tech. Mahindra Pvt. Ltd. His research and teaching interests includes online social networks, online communities, e-commerce and allied areas in data mining applications.

5 Dr. Nitin Singh Associate Professor (Operations Management) Dr. Nitin is an Associate Professor of Operations Management at IIM Kashipur. He earned the Fellow Program in Management from IIM Bangalore and has worked for KPMG, Hexaware and Hindustan Petroleum Corp Ltd during his stint in industry for 12 years. He had also been an Assistant Professor of Operations Management at IIM Indore. During the course of his career, Dr. Nitin has led projects relating to supply chain analytics, forensics, Big Data, risk and others. Dr. Nitin has also contributed actively in research and has several papers in journals & publications like Communications of the ACM, Blackwell and Atlantis. His consulting experience has a track record of working very closely with C-Level executives in designing and delivering solutions that are measurable, relevant and actionable. Dr. Nitin has presented papers at more than 30 conferences both nationally and internationally. Dr. Nitin holds visiting research fellow position with Hong Kong Polytechnic University, a Top 50 ranked University globally. He won the Aditya Birla scholarship at IIM Bangalore during his doctoral studies at IIM Bangalore. Eligibility For Indian Participants - Graduates or Diploma Holders (10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline. For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country. Prerequisites Knowledge of basic statistics / Maths as a subject in Undergraduate level. Working knowledge of any statistical package is desirable. Who Should Attend Graduates and Working Professionals who are aspiring to embark on a career in Business Analytics. Department Heads and other senior managers who want to use the analytics output to improve their decision making. Executives who want learn practical aspects of data handling across applicable areas like Big Data, IT Services, Marketing, ecommerce, Research etc. Project Managers, Business Managers and Senior Leaders who have the responsibility to manage large data analytics/big data based projects and would like to gain understanding of this domain.

6 Pedagogy The primary method of instruction will be through LIVE lectures that will be delivered online via internet to participant desktops/laptops or classrooms. The lectures will be delivered by eminent faculty from IIM Kashipur and expert(s) from industry. The program will be primarily taught though a combination of class exercises, presentations, take-home exercises, simulation and case studies. The course contents are organized in a way so as to provide the participants an introduction on application of analytics to various business aspects, followed by concepts of machine learning and their business applications and finally on leveraging big data technologies for analytics.all enrolled students will also be provided access to the Cloud Campus through which students may access other learning aids, reference materials and assessments, case studies, projects and assignments as appropriate. Throughout the duration of the course, students will have the flexibility to reach out to the Professors, real time during the class or offline via the Cloud Campus to raise questions and clear their doubts. Participants successfully completing and submitting the assigned project work and presentations will be awarded a Certificate of Completion. Schedule and Fees Course Commencement Date: 07 May 2017 Course Schedule: Sunday p.m - 05:30 p.m. IST Program Duration: 5 months Indian Participants: INR 60,000 + Tax International Participants: USD 1350 How to Apply For admissions, students can register at : For more details Students can write in to - enquiry.dtd@talentedge.in or call at Talentedge, CBIP Building, 5th floor, Plot No - 21, SECTOR-32, Gurgaon