From Data to Decisions

Content
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
       (subject to time and interest)
11.  Project work and presentations

Key take-away from the Program
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. 

Participant Profile
The programme is broadly targeted for executives who have to manage data and/or feel the need for datadriven decision making in their role in the respective organisation. This programme may help executives who are likely to player a more important role in the organization if equipped with more analytic tools, mindset, and perspective.

While the programme would start with a review of basic statistics, and some preparatory material would be made available to the participants in advance. Prior exposure to elementary statistics at 10+2 or undergraduate level will be beneficial.

Programme Director

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 1,35,000/- Residential per person for participants from India and its equivalent in US Dollars for participants from other countries. Non-residential option is not available.

Early Bird Discount
Nominations received with payments on or before 24-Oct-23 will be entitled to an early bird Discount of 10%.
Early Bird Fee (Residential) INR 1,21,500/-(+ 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.

Testimonials

"The program was meticulously planned and well executed. The professor presented the concepts in a very clear manner and encouraged us to apply our knowledge in real life cases. The course enables one to make sense of various types of data and efficiently analyse them to arrive at decisions. A crucial takeaway for me was that I was able to implement the knowledge acquired in the course to develop a dashboard that enabled my organisation to take key operational decisions. As my field of operation, i.e, reinsurance is heavily dependent on statistics, this course by upskilling me provided a definite competitive advantage. I recommend anyone working in the field of data and statistics to attend the course "Data to Decisions" at IIM Bangalore."

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“As a working professional seeking to enhance my skills in the field of in the data-driven business landscape, this programme - "From Data to Decisions" surpassed all my expectations. The programme 's curriculum was well-structured, offering a comprehensive understanding of data analytics techniques, statistical models, and decision-making frameworks. What sets this programme apart is the invaluable real-world experiences shared by fellow participants from diverse backgrounds. Engaging in peer-to-peer interactions and collaborative group projects created a dynamic and stimulating environment, facilitating the exchange of innovative ideas and perspectives.

I must commend Prof. Das, an exceptional faculty member, for seamlessly bridging the gap between theoretical concepts and practical applications, which enabled me to integrate my newfound knowledge into my professional pursuits.

Overall, the programme has opened new doors for career advancement and has positioned me as a valuable asset in my organization. If you are looking to elevate your data analytics prowess and make informed decisions in today's data-driven world, this programme is a must! “
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How to Apply