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MDP in Business Analytics
Gain exposure to real-life business solutions leveraging analytics

5 Days/ 10 Days programme

Contact hours: 40 hours/ 80 hours

  • Conceptual Learning
  • Conceptual Learning
  • Projects/ Assignments
  • Case studies/ Use cases
Programme Objectives
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.

Key Takeaways

  • 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

Learning Mode

Curriculum Overview

Regression Models
Forecasting Models
Simple Prescriptive Analysis
Segmentation: Cluster Analysis
Optimization Techniques
Recommendation Engine
Over a dozen case studies
At least three (3) case studies as hands-on sessions
Case studies cover the banking, retail, telecom, media, real-estate, etc industries

Are there any Learning Pre-requisites?

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.

MEET Our Consultants & Faculty

Goutam Das

Ph.D. Scholar (Foreign Direct Investment), IIFT Delhi MTech (Computer Engg.), IIT Kharagpur Alumnus of IIM Calcutta & ISI Delhi 25+ yrs of industry exp. across industry verticals

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Dr Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University, USA B. Stats & M. Stats, Indian Statistical Institute, Calcutta Ex-Chief Scientist & Founder, PlanetRisk Inc, USA; 20 yrs of industry exp. with Morgan Stanley, Barclays Capital, etc.

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Debjani Bhattacharya

M. Phil, Jadavpur University, B.E. (Electrical Engg.), MN-NIT Allahabad

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Dr. Mousumi Duttaray

Ph.D. (International Economics), Indiana University, USA 18+ years of teaching, research and industry experience in USA with global majors like Barclaycard, AMEX etc.

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Amrita Saha

M.Sc.(Economics) Calcutta University

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Somnath Sinha

B.Tech. (Electrical), IIT Bombay PGDM, IIM Calcutta 30+ yrs. of exp. in global delivery with 2 decades of service with IBM as Service Leader (IT) & CIO Ex-partner of Accenture, KPMG, E&Y, PWC

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Prof. B. B. Chakrabarti

Ph.D. in Economics Gold Medalist -PGDM, IIM Calcutta Gold Medalist - BE, Jadavpur Univ. Fellow Member of the Institute of Cost Accountants of India (ICAI) 40+ yrs of experience in industry/ academic

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Pravin Bhosale

B. E. (Mech. Engg), NIIT PG Certification on Business Analytics, Machine Learning Cert from Stanford Univ. LOMA ALMI Certified Professional 15+ years of experience in consulting on Financial Analytics, Credit Risk Analytics, Operations Research, Business Analytics,

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