83% of India's data-driven companies are more resilient and confident during the pandemic than non-data-driven companies (The Economic Times, 2020). The Applied Business Analytics programme from ISB is designed not only to explain what each model does or functions but also explores how businesses use them, whether it is to gather insights, solve problems, or predict outcomes. In 12 weeks, through engaging online sessions, you will gain a hands-on approach to understanding different types of analytics and their uses to make informed data-driven business decisions.
Eligibility: Any Graduate/ Diploma holder.
Research Ranking in India
Alumni
B-School in Asia
Recorded Videos from top ISB faculty
Assignments and Quizzes
Faculty-built Apps
Discussion Boards
Live Online Sessions with Programme Leaders
Note: The final number of quizzes, assignments and discussions will be confirmed closer to the programme start.
This cutting-edge programme is best suited for professionals who are:
Upon successful completion of the programme, participants will be a part of the ISB Executive Network. Benefits include:
Associate Professor, Marketing
Associate Dean - Research and RCI Management; Executive Director - IIDS
Prof. Gangwar is the Executive Director of the Institute of Data Science and Business Analytics programme at ISB. He holds a PhD in Management Science from the University of Texas at Dallas. His research interests include exploring marketing, product, and technology issues using quantitative models. His research articles have been published in leading academic journals, books chapters, and popular media. He was also recognised as one of the most prominent data science academicians in India.
Associate Professor, Marketing
Associate Dean - Faculty Alignment and Registrar's Office (FARO)
Academic Director, ISB Institute of Data Science
Prof. Voleti has worked in the industry in different capacities, from a management consultant to a software analyst. He holds a PhD in Marketing from the University of Rochester. Prof. Voleti's research focuses on combining data with econometric and statistical methods to explain the phenomena of marketing interest such as evolution in the equity of brands across time, valuation of brands using secondary sales data, the sales impact of geographic and abstract distances between products and markets, and the performance, productivity and benchmarking of salesforce organisations.
*Others include FMCG, Healthcare, and Telecommunications among others.
*Others include Customer Service, General Management, and Legal among others.