8726AO013

From Data to Decisions

Batch- 13

Programme Dates
Start Date: 07 Dec 2026
End Date: 11 Dec 2026

Batch-13

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
Apply Now
* GST applicable at 18%

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Important Deadlines

Venue : IIMB Campus
Early Bird Discount Date : 16 Nov 2026
Last date for registration: 27 Nov 2026

 

About the Programme

Contact Us

Mr. Shashidhar
Mobile No. +91 7899991576
Email: shashidhara.cs@iimb.ac.in

Mode
In-Person
Starting In
Oct-Dec
Level
Mid-Senior
Duration
Short Duration
International Travel
No
Alumni Status
No

Programme Overview:

Data-driven decision making has become a critical capability for managers across industries. Organisations increasingly rely on business analytics, statistical analysis, and data analytics to improve performance, solve business problems, reduce uncertainty, and make evidence-based decisions.

From Data to Decisions is an Executive Education programme from IIM Bangalore designed to help professionals understand statistical thinking and apply practical business analytics techniques using Microsoft Excel. The programme enables participants to identify the appropriate analytical methods for different business problems, interpret statistical outputs correctly, and transform data into meaningful managerial decisions.

Participants will develop a strong conceptual foundation in descriptive statistics, probability, sampling, hypothesis testing, regression analysis, and data analytics, while learning how these tools support decision making across business functions. The programme combines conceptual learning with hands-on exercises, Excel-based analytics, and group projects to ensure immediate workplace application.

Programme Objective:

This Data Analytics Programme aims to equip professionals with the knowledge and practical skills to apply data analytics, statistical analysis, and business analytics techniques for effective managerial decision making. Participants will learn how to analyse data, interpret statistical results, and transform data into meaningful business insights using Microsoft Excel.

Upon successful completion of the programme, participants will be able to:

  • Develop a strong understanding of descriptive statistics, probability, sampling and statistical inference.
  • Identify the most appropriate data analytics and statistical techniques based on business objectives and decision-making requirements.
  • Conduct statistical analysis using Microsoft Excel and interpret the results with confidence.
  • Apply hypothesis testing, regression analysis and other analytical methods to solve real-world business problems.
  • Translate analytical findings into actionable business recommendations and support data-driven decision making.
  • Build confidence in applying business analytics tools to improve organisational performance and managerial effectiveness.

Programme Contents:

The programme covers the following topics:

1. Descriptive Statistics

Learn how to summarise, visualise and interpret business data to support effective decision making.

2. Probability and Probability Distributions

Understand probability concepts and distributions used to analyse uncertainty and business risk.

3. Sampling and Sampling Distributions

Explore sampling methods and learn how representative samples support reliable business analysis.

4. Estimators and Standard Error

Understand estimation techniques and the importance of standard error in statistical analysis.

5. Confidence Interval Estimation

Learn how to estimate population parameters and quantify uncertainty in business decisions.

6. Hypothesis Testing and Statistical Significance

Apply hypothesis testing techniques and interpret significance values for evidence-based decision making.

7. Analysis of Variance (ANOVA)

Compare multiple groups using ANOVA and understand its applications in business analytics.

8. Regression Analysis and Correlation

Develop practical skills in simple and multiple regression, correlation analysis and predictive modelling.

9. Data Analytics for Business Decisions

Apply data analytics techniques to solve real-world business problems and support managerial decision making.

10. Advanced Statistical Analytics

Gain an introduction to advanced analytical methods and their business applications.

11. Hands-on Project and Presentations

Work in teams to analyse real datasets using Microsoft Excel and present actionable business insights.

Who should attend?

This Data Analytics Programme is designed for professionals who want to strengthen their analytical and data-driven decision-making capabilities.

The following professionals may find it particularly useful:

  • Consultants
  • Business unit leaders/functional leaders supporting business unit leaders
  • Data and technology specialists
  • General managers, senior executives
  • Entrepreneurs/business owners
  • Professionals in other company roles may also benefit.

Pedagogy

The programme adopts a highly interactive and application-oriented learning approach. Participants will learn through a combination of conceptual lectures, practical demonstrations, Microsoft Excel-based analytical exercises, real-world datasets, case discussions and group projects. Hands-on assignments and project presentations enable participants to apply statistical analysis and data analytics techniques to solve real business problems, ensuring immediate workplace relevance.

Programme Director

SHUBHABRATA DAS
Professor, Decision Sciences
Chairperson, Admissions and Financial Aid
Member, National Statistical Commission, MoSPI
PhD, University of North Carolina at Chapel Hill, USA
M Stat, B Stat, Indian Statistical Institute, India

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 and University of Montana.

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 Encyclopedia 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.

Programme Charges

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-26 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

  • All enrolments are subject to review and approval by the programme director. Joining Instructions will be sent to the selected candidates 10 days prior the start of the programme.
  • The programme fee should be received by the Executive Education Office before the programme commencement date.
  • In case of cancellations, the fee will be refunded only if a request is received at least 15 days prior to the start of the programme.
  • If a nomination is not accepted,the fee will be refunded to the person/ organisation concerned.
  • A certificate of participation will be awarded to the participants by IIMB.

Participant Benefits

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 –

  • Receive Executive Education eNewsletters
  • Invitation to share articles to the EEP blog (subject to a shortlisting process)
  • Participate in EEP webinars on various topics
  • Invitation to curated events and programs by the EEP office

Certificate Sample