MDP in Business Analytics Gain exposure to real-life business solutions leveraging analytics
5 Days/ 10 Days programme
Contact hours: 40 hours/ 80 hours
Case studies/ Use cases
The “Management Development Programme in Business Analytics” blends academic curricula with real-world examples of successful execution of business analytics initiatives & projects by global industry leaders across industry verticals. The programme lays the foundation of business analytics concepts necessary to run such projects, and reinforces them with case studies/ use cases/ examples of successful implementation in the industry.
Who should go for the Programme?
The “Management Development Programme in Business Analytics” has been designed & developed primarily for middle managers who aspire to work in data analysis driven environments. For managers who intend to take up decision-making roles in their organizations and champion various strategic initiatives, this programme would help in understanding, analyzing & interpreting data which would in turn facilitate further decision making.
Articulate how business analytics can help manage their business better
Develop awareness of various Statistical, Mathematical & Econometric models used in business analytics
Identify the dos-and-don’ts of successfully running business analytics projects
Appreciate the scope of analytics in their business domains
Lead/ guide business analytics initiatives in their businesses
Participants best-suited to derive maximum benefits from the “Management Development Programme in Business Analytics” are professionals with at least three (3) years of industry experience.
The programme has been tailored to suit learning requirements of middle managers in the industry, with minimal pre-requisites with regards to knowledge of Statistics.
Nevertheless, in the interest of effective & efficient learning of participants, we recommend that participants have a Graduate or a Post Graduate degree with, as part of their curriculum, at least one of the following subjects: Mathematics, Statistics, Engineering Mathematics, Business Mathematics, or Mathematical Economics.