Top 100 Global B-Schools
as per FT MiM 2022
as per FT MiM 2022
Classroom Lectures
3 Days
3 Days
Program Venue
NMIMS Campus, Mumbai
NMIMS Campus, Mumbai
Program Date
25 – 27 November, 2022
25 – 27 November, 2022
In today’s highly uncertain world, every organization is at the edge of survival. To gain competitive advantage, it is pivotal to take ‘right’ decisions before your competitors, and this is possible only through data enabled learning. Data analytics can aid organizations to confidently experiment, innovate, and compete. The pandemic has pushed every organization to become insight driven. As per IDC, the worldwide spending on big data and business analytics has witnessed a 10.1% increase in 2021, compared to the 2020, and the trend is expected to continue at least for the next 5 years. At the same time, there is also a dearth of managers, who can capitalize on this technology, to propel business growth. This programme is intended to bridge this gap, by equipping managers, with necessary analytical tools and techniques, to drive their organizations towards data-driven decision making.
Get exposure to plethora of analytical tools and techniques used at workplace
Gain Technical skills to start collecting, exploring and visualizing data
Learn to make inferences from data and draw conclusions to aid decision making
A primer to appreciate more complex technologies like Machine Learning
Get exposure to plethora of analytical tools and techniques used at workplace
Gain Technical skills to start collecting, exploring and visualizing data
Learn to make inferences from data and draw conclusions to aid decision making
A primer to appreciate more complex technologies like Machine Learning
Expert faculty with strong knowledge of analytics background
Effective pedagogy using advanced tools such as Tableau, R studio, SQL, JMP
Participate in peer-to-peer learning and expand your professional network
Receive a Certification from NMIMS, School of Business Management
Assistant Professor
Dr. Abhinav is working as Assistant Professor in the area “Operations and Data Science” at School of Business Management, Mumbai, NMIMS University. His research interests are quality improvement & management, and metaheuristic search strategies. His research work has appeared in reputed international journals. His teaching interests include quality management, operations management and business analytics. He is also a certified Lean Six Sigma Green Belt. Dr. Abhinav holds B.Tech (Honours) in Mechanical Engineering from Himachal Pradesh University, Master of Design in Mechanical Systems from IIITD&M Kancheepuram and PhD in operations management from Indian Institute of Technology Bombay. Dr. Abhinav conducts training programs in business analytics and operations management.
Associate Professor
Dr. Manisha Sharma currently works as Associate Professor in the area “Operations and Data science” at School of Business Management, Mumbai, NMIMS University. She is a data analytics educator and practitioner. She has organized many conferences and workshops in the area of Data Analytics and Research Methodology. She has published many SCOPUS indexed articles in the reputed journals including “International Journal of Information Management (ABDC A*) and Technology Forecasting and Social Change (ABDC A). Her disciplinary research interests lie in the fields of Mobile Applications, Social Media and Supply Chain Analytics.
Assistant Professor
Prof. Binesh Nair is an Assistant Professor in Business Analytics at the School of Business Management, NMIMS, Mumbai Campus. He is also the Programme Chairperson of India’s only dual-degree MBA programme in Analytics (MBA in Decision Sciences and Analytics), in collaboration with Purdue University. Binesh has experience of over a decade; spanning industry, academia, and research. Prior to joining NMIMS, he has worked with both Deloitte Ireland and Deloitte India, wherein he served the firm’s key clients mainly in the BFSI sector, helping them in managing their data, and deriving critical business insights. He has also worked with SMEs’, both in India and Ireland, in designing and developing analytical solutions. He has collaborated with researchers across the globe, from diverse domains, including social sciences, education, human resources, public policy, finance and so on. Binesh has published 20+ papers in peer-reviewed journals and conferences, typically in the realm of applied analytics. His areas of specialization are social network analytics, big data analytics, text mining, data mining and learning analytics. He has been the Government of Ireland Scholar for 2014/15.
INR 45,000 (excluding taxes)
