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Programme Dates Start Date: 07 December 2026 End Date: 11 December 2026 Venue |
Registration Deadlines Early Bird Deadline: 16 Nov 2026 Last Date for Registration: 27 Nov 2026 |
Programme Fee (Residential) Early Bird Fee: ₹1,32,750 + GST Regular Fee: ₹1,47,500 + GST |
Programme Fee (Non-Residential) Early Bird Fee: ₹1,08,000 + GST Regular Fee: ₹1,20,000 + GST |
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| * GST applicable at 18% | ||||
Venue : IIMB Campus
Early Bird Discount Date : 16 Nov 2026
Last date for registration: 27 Nov 2026
Mr. Shashidhar
Mobile No. +91 7899991576
Email: shashidhara.cs@iimb.ac.in
Programme Overview
Data and model-based decision making are increasingly gaining popularity in the business world. This programme is designed to equip participants to identify appropriate analytics methodology depending on the problem objective, to analyze and properly interpret the results of the statistical analysis. While step-by-step instructions would be provided for the various standard analytic tools, conceptual foundation would be built along the way so as to facilitate the more advanced participants to fine-tune the requisite methods depending on the specific challenges of a problem. Participants would be split into small groups to work on the assigned data analytic projects. Learning from these projects will be the key take-away from this program. All computational implementations would be conducted using MS-Excel.
Programme Contents
1. Descriptive Statistics
2. Probability and Probability Distributions
3. Sampling and Sampling Distribution
4. Estimators and their Standard error
5. Confidence interval estimation of population parameters
6. Testing of Hypothesis, significance values in decision making
7. Analysis of variance
8. Simple and Multiple regression, Correlation Coefficient
9. Data Analytics
10. Introduction to more advanced statistical analytics
11. Project work and presentations (subject to time and interest)
Programme Objective
On completion of this course, the participants should be able to:
• Understand the statistical principles and appreciate data analytics;
• Formulate a problem objectively and meaningfully to facilitate objective analysis;
• Conduct statistical analysis and draw inference using MS Excel;
• Meaningfully interpret the findings of the results.
Key benefits/takeaways
Gaining skills of using and combining domain knowledges with data when building data analytics models.
Pedagogy
Through a combination of lectures, role-plays, round table discussion and case studies.
Who should attend?
The following professionals may find it particularly useful:
Professor Shubhabrata Das has been a faculty with IIMB since 1999. He has held visiting faculty positions at various institutes/universities of international repute, including ESSEC Business School, Indian Statistical Institute Calcutta, University of Nebraska etc.
His major research domain is in Statistical methods, Actuarial Mathematics and Operations Research. Specific topics of interests include Multivariate Statistics, Statistical analysis of fuzzy data, Sports Analytics, Business Forecasting, Measurement and Scaling and Discrete optimization problems. He has published several papers in the refereed journals of international repute. Prof. Das is a co-author of a book titled ‘Facing the Future: Indian Pension Systems’. He is also the co-author of the chapter on canonical correlations in the Encyclopaedia of Biostatistics. Besides these, he has published several technical reports and delivered seminars at various international conferences all over the world.
Prof. Das engages in training and other consultancy services in the domain of Business Statistics, Business analytics, Advanced Market Research, Business Forecasting and Insurance with various prominent companies in the country.
At IIMB, besides teaching the core courses on Statistics for the Post-graduate programs, doctoral programme and various executive education programs, he offers elective courses on Business Forecasting, Insurance analytics, Sports Analytics.
Prof. Das has been Research Chair Professor at IIMB. He was also a part of the IIMB faculty team that received IBM Faculty award. He also received best paper award in the 7th APRIA for work on Joint life Insurance Policy with differential benefit and premium. He is one of twenty faculty members spread across four continents and twelve academic institutions of international repute that is recipient of a big four-year (2013-16) grant facilitating collaborating research on Risk analysis, Ruin and Extremes, awarded by the European Commission.
Programme Fee
INR 1,47,500/- Residential and INR 1,20,000/- Non -Residential (+ Applicable GST) per person for participants from India and its equivalent in US Dollars for participants from other countries.
Early Bird Discount
Nominations received with payments on or before 16-Nov-25 will be entitled to an early bird Discount of 10%.
Early Bird Fee (Residential) INR 1,32,750/-(+ Applicable GST)
Early Bird Fee (Non-Residential) INR 1,08,800/-(+ Applicable GST)
Group Discount
Group Discount of 5% percentage can be availed for a group of 3 or more participants when nominations received from the same organization.
Please Note
As a participant of this Short Duration Programme, you will be able to enjoy some exclusive benefits other than the outcomes such as skills and knowledge enhancement and building specific competencies that can help shape your career growth.
Some of the exclusive benefits of attending this programme are listed below –
