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Embark on a journey to understand Data with a Comprehensive Post Graduate Program in Business Analytics and Data Science (PGP BA & DS) ITM Executive Education Centre Bengaluru Chennai Mumbai Navi Mumbai Pune 1

The Trendiest Job of 21st Century The paradigm shift, initiated by frequent technology deployment and rapid digitalization, has finally brought us to the threshold of a data-driven era. Organisations are now flooded with huge volume of data on customer behaviour, customer journey, product journey, and more that offers critical insight on market and industry performance. The changed scenario demands organisations to take cognizance of the situation and create synergy between business management and data-based decision making to out- smart competition. EEC wants to overcome this challenge of creating managers with analytical skills and  in this context has also joined hands with Analytics Society of India, Bangalore to design a comprehensive program in Business Analytics & Data Science. Business Analytics, the Sexiest 79% of enterprise executives agree that Job of the 21st Century. companies that do not embrace Big Data will lose their competitive position and could face - by Harvard Business Review Report. extinction. - Forbes.com 30.8% CAGR Is the predicted rate of growth of the BDA industry in 2023 $224.6 million Projected revenue of Indian Analytical industry in 2020 700,000 Going to be the global demand & supply gap for Data Analysts in 2020 200,000 Expected shortfall of qualified Business Data Analysts in India in 2020 2

PGP in Business Analytics & Data Science: Joint Classroom Training + Capstone Project Certification from + Hackathon Banglore 11 months Weekend Program Additional Certifications Python, SAS, Tableau & Power BI Industry Immersion with Workshops and Guest Lectures 3

Program Benefits As per NASSCOM, there are over 600 analytical companies operating in India and this industry is expected to touch $16 billion by 2025. The growing trend in the field of business data analytics has led to our industry oriented program with the following benefits: Designed for working professionals Designed specifically to cater the career advancement needs of working professionals, the course is imparted on weekends over a period of 11 months. It gives students the utmost flexibility to manage their jobs and studies. Industry- responsive Curriculum The curriculum weaves together the brilliance of academics with industry-responsive projects, dovetailed for a holistic experience. It covers the bases of management with an emphasis on mastering data analytical techniques to influence data-based decision making into business. Experiential Learning Since the focus is on creating industry ready professionals, the course curriculum is plannzed around offering ample industry exposure to students to match with industry expectations. Students are exposed to multi-level learning with Capstone Project. Career Assistance The program endorsed by the industry,  is delivered by analytical experts. Our students will enjoy many benefits of our corporate collaborations like Placement Assistance, Job Fairs to enhance their career after successful completion of program.    Expert Faculty The faculty members have proven track record in their respective fields with ample experience in teaching and delivering highly intellectual modules. Being experts they bring a wealth of knowledge to the class. Additional Certifications in Python, SAS, Tableau, Power BI ITM in association with Analytics Society of India awards joint certification to BA & DS program. Additional professional certifications are provided to students in Python / SAS / Tableau / Power BI. 4

Program Curriculum Semester II Semester I Sr.No Subjects 1 Multivariate Data Techniques Sr.No Subjects 2 Machine Learning part I 1 Statistics for Decision Making 3 Applied Analytics for Marketing & Sales 2 Analytics with Excel 4 Data Science with R 3 Optimization Methods for Business Analytics 5 Applied Analytics for Banking Services 4 SQL for Data Analysis 6 Human Resource Analytics 5 Business Research Methods 7 Digital Analytics 6 Data Visualisation with Tableau 8 Machine Learning part II 7 Python for Data Science 9 Deep Learning and Neural Networks 8 Data Science using SAS 10 Artificial Intelligence 9 Big Data Technologies Hackathon Capstone Project TOOLS & MORE PYTHON POWER BI SAS TABLEAU HADOOP HIVE SQL Business Analytics- A tool for effective decision making Analytics is a key competitive resource for many A survey by Deloitte, Technology in the Mid-Market; companies. It plays an important role in driving Perspectives and Priorities, reports that executives business strategy and making effective business clearly see the value of analytics. The image below clearly decisions depicts their attitude and belief towards Data Analytics. 5

SEMESTER I STATISTICS Decision sciences gives students an opportunity to progress rapidly in their familiarity FOR DECISION with a variety of Quantitative methods for describing distributions and for analyzing the nature, significance, and strength of relationships between variables. Emphasis have been MAKING given to conceptual understanding of the topic so that the students can model business situations into mathematical models and reach to a decision. ANALYTICS The course would introduce different features and commands under Ms-Office and WITH EXCEL enable efficient documentation of Word file. The learners shall be exposed to practical implementation on various Ms-Office documents. The course would introduce file compatibility methods along with logical and lookup formulae from. Implementation and understanding of macros using Vb script would be achieved. OPTIMIZATION The course address variability in Resource Capacities, Profit and Cost Considerations and METHODS FOR Changes in Technology in LPP Model for students to remember. The course helps students in understanding how to address several goals/ objective functions in a LPP Model. At BUSINESS the end of course, students can create and optimize networks which depict relationships ANALYTICS between various components of the system. SQL FOR This course describes the standard language, but also identifies deviations from the DATA standard in using database product - Microsoft SQL Server for students to remember. In this course, students understand how to optimize the accessibility and maintenance ANALYSIS of data with the SQL programming language, and gain a solid foundation for building, querying, and manipulating databases. BUSINESS The intent of the course is to provide an introduction to and a basic grounding in, RESEARCH fundamental research methods as they relate to the modern practice of management and METHODS to academic research. Course begins with an introduction to quantitative and qualitative designs in management research as well as to frequently used “Applied Statistics” With special attention to ethical concerns in research, measurement issues such as reliability and validity. DATA This course helps in creating interactive graphs and charts in the form of dashboards and VISUALISATION worksheets to gain business insights. WITH TABLEAU 6

SEMESTER I PYTHON This course will introduce the learner to the basics of the python programming environment, FOR DATA including fundamental python programming techniques such as lambdas, reading and SCIENCE manipulating csv files, and the numpy library. The course will make students understand data manipulation and cleaning techniques using the popular python pandas data science library. Students will be able to create data sets suitable for analysis using python to solve complicated numerical problems arising out of real-life scenario. DATA SCIENCE One of the easiest ways to get your foot inside the door of the Analytics Industry is to get yourself SAS certified. It works wonders during Interview short listing if your CV mentions USING SAS you have Base SAS or Advanced SAS certifications. Our SAS modules have been geared to prepare students to clear these certifications; you can opt for classroom trainings-offline (SAS as well as online (with complimentary Video subscription) or go with the Video Modules CERTIFICATIONS) alone. BIG DATA This course is designed to give theory and practical knowledge in data management and TECHNOLOGIES big data analytics. It covers the basics of big data, storing and extracting data, and the big data technologies - Hadoop, MapReduce, Apache, Pig, Hive, Flume, Sqoop, Zookeeper, Oozie, Spark, Cassandra, and Mongo DB. To study on how data is being collected and stored at a velocity faster than ever and how to make use of cloud to manage that data. 7

SEMESTER II MULTIVARIATE This course is designed to cover an ideal introduction to the theory and practice of DATA marketing management. Each module progresses with building foundation and conceptual knowledge followed by application using cases and insightful classroom activities. In TECHNIQUES addition to case studies, learning materials are in form of articles, simulations, role plays and other experiential activities too. MACHINE This course will introduce the learner to the concepts of machine learning which is a must- LEARNING have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions. It will make students understand PART I the basics of Machine learning, brings together computer science and statistics to harness that predictive power. This course is created to give theory and practical exposure in the ways in which businesses can use data to gain insights and make better decisions. APPLIED The main objective of this course is to help the students to learn the process of measuring, ANALYTICS analyzing & managing marketing performance to maximize its effectiveness & optimize return on investment. The course is designed to cover data-driven decision-making FOR processes involved with respect to products, services, pricing, promotion and placement MARKETING by exploring, understanding and applying concepts like data profiling, customer lifetime AND SALES value, market basket and RFM analysis. DATA This course covers the application of basics of analytics through R, Predictive Analytics, SCIENCE Text Analytics & Sentiment Analysis and imposes the ability to use data effectively to drive WITH R rapid, precise and profitable decisions. Students will learn to identify, evaluate, and create business analytic opportunities that create value to the business and learn basic analytic methods using R. APPLIED In this course, students will understand real-life application of analytics in banking sector ANALYTICS using cases which exist in many segments of the banking industry. Using analysis banks FOR BANKING can determine the most promising areas of application and reap the benefits before others SERVICES. beat them to it. Students learn to evaluate how bank should treat data as an asset and make analytical capability a core competence across all its functions. Lastly, students will be able to leverage an actual use case to illustrate the challenges and benefits of implementing banking analytics. HUMAN This course introduces the theory, concepts, and business application of human resources RESOURCE research, data, metrics, systems, analyses, and reporting for students to remember. The ANALYTICS course develops an understanding of the role and importance of talent analytics, and the ability to track, store, retrieve, analyse and interpret HR data to support decision making. Using the course, students develop skills on use of Statistical Software to develop predictions related to the Workforce and various HR Operations. 8

SEMESTER II DIGITAL This course explains how social media tools can help organizations reach their objectives ANALYTICS and when these tools are most appropriate for students to remember. The course helps students to understand and engage with social media tools and describe how to measure social media campaigns. Also, learn the importance of Web Analytics and its applications. It also is intended to emphasise the importance of Web Analytical Tools as platform for creating and developing Applications. MACHINE The course prepares students for research or industry application of machine learning LEARNING techniques to remember. This course provides a broad understanding on introduction to machine learning and statistical pattern recognition. It is designed to apply interdisciplinary PART II techniques such as statistics and computer science to create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention. DEEP This course is an introduction for students to remember deep learning, a branch of machine LEARNING learning concerned with the development and application of modern neural networks. AND NEURAL Deep learning algorithms extract layered high-level representations of data in a way that NETWORKS maximizes performance on a given task. Students will be able to build, train and apply fully connected deep neural networks. In addition, the course will cover evaluation of topics from introduction to deep learning, basic neural networks, and convolutional and recurrent network structures. ARTIFICIAL Artificial Intelligence (AI) is a broad and fast-growing subfield of Computer Science INTELLIGENCE concerned with the construction of Intelligent Agents. This course provides an overview of methods, history, and impact of AI. It covers problem solving, heuristic search, planning, game playing, reasoning with propositional and predicate logic, reasoning under uncertainty, machine learning, applications (natural language processing, vision, robotics, as time permits). Students will solve a variety of AI problems using Python. 9

Hackathon What is Hackathon? Hackathon also known as (hack fest, code fest) is a coding / programming event generally lasting for few hours to few days (24 to 48 hrs). The term hack here means exploratory programming which brings together specialist from different backgrounds like Analyst, Developers, Project Managers, and Technical Architecture on a common platform to build, create and deliver a product in a short span of time. Capstone Project l Apply knowledge of management theories and practices to solve business problems. l Foster Analytical and critical thinking abilities for data-based decision making. l Ability to develop Value based Leadership ability. l Ability to understand, analyse and communicate global, economic, legal, and ethical aspects of business. l Ability to lead themselves and others in the achievement of organizational goals, Contributing effectively to a team environment. Opportunity to work with Corporates *Conditions apply and many more... 10

Admission process Eligibility 15 years of education from Recognised Institution 2 years of Professional Experience Duration Program Model 11 Months Fees Classroom Training + Capstone Project + Hackathon INR 2,95,000/-* (*Inclusive of all) Selection Process 1 You need to fill-up the online admission form to seek admission. 2 Once we receive your application and the requisite fee, we shall call you for the next level of the admission process. 3 Our selection panel, comprising our eminent faculties shall review the applications to select candidates based on their profiles. 4 Once shortlisted, we will schedule you for a Personal Interview round. During the final selection phase, you’ll be intimated through emails about your admission to the program. You need to acknowledge the email and write back your acceptance to complete the admission process. 11

+ About ITM Executive Education Center Since 1994, ITM EEC is dedicated to assist working professionals in their journey of career advancements through contemporary programs on business management. The aim is to help professionals upgrade to industry relevant skills and stay ahead in competition. It’s been a successful run for ITM Executive Education Centre for 25 years in training more than 9,600 executives and helping them make career transitions for success. Today, our students come from India’s top companies, drawn by the assurance of great faculties, valuable learning and a lifetime of networking opportunities. Over 45% of our students are referred by their coworkers and peers, a testament to the value that ITM brings to their professional endeavors. ITM Executive Education Centre Bengaluru Chennai Mumbai Navi Mumbai Pune Email: [email protected] www.itm.edu/eec Toll Free 1800 228 808 12