Business analytics has emerged as a crucial pivot for successful decision-making, business process automation, deriving solutions to problems, and enhancing organisational performance. Many organisations benefit from business analytics to improve their performance. This makes business analytics an essential skill for today’s professionals. Business intelligence, further empowers organisations to make strategic decisions. By providing an overview of an organisation’s business operations or specific areas of interest, business intelligence enables the extraction of insights from data. Recognising the growing demand for analytical acumen, the programme emphasises the development of analytics as a critical skill set.
In this course, participants will gain practical experience in understanding and interpreting data, statistical analysis, and data visualisation using analytical tools and software. This will enable them to solve real-life problems and build a solid foundation for advanced techniques in Business analytics such as 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
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, Bluesky Statistics, and R.
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 an 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, a Master of Design in Mechanical Systems from IIITD&M Kancheepuram and PhD in operations management from the Indian Institute of Technology Bombay. Dr Abhinav conducts training programs in business analytics and operations management.
Associate Professor
Dr. Manisha Sharma currently works as an Associate Professor in the area “Operations and Data Science” at the 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 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.
INR 10,000 (excluding taxes)
