Predictive Analytics for Business Forecasting [Batch-7]
IIM Bangalore - Executive Education
Data Analytics
Partner Institution
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Application Deadline Approaching
Last date to apply: December 26, 2026 · Program starts on January 5, 2027
About Programme
With increasing complexity, competition, and rapid changes in today’s business environment, organisations are relying more than ever on predictive analytics to support evidence-based decision-making. The growing availability of data, coupled with advances in analytical techniques, has significantly enhanced the role of forecasting across business functions.
This programme provides a comprehensive overview of modern forecasting methods and predictive analytics techniques used for managerial decision-making. Participants will learn to address a wide range of business forecasting problems, including demand forecasting, market size estimation, sales projections, customer behaviour analysis, and stock price prediction.
Programme Audience
The programme is designed for executives and professionals with an analytical mindset who wish to apply quantitative methods for forecasting and business decision-making.
Although the programme begins with a review of essential statistical concepts, participants will benefit from having:
a basic understanding of elementary statistics (at the 10+2 or undergraduate level), and
some exposure to forecasting or business planning problems in their professional work.
Hands-on experience with forecasting techniques is not required.
Participants are encouraged to bring their own forecasting datasets and business problems. Those who do not have suitable datasets will be provided with realistic datasets during the programme.
Programme Benefits
Understand and implement a wide range of forecasting methods, including decomposition models, exponential smoothing, Box–Jenkins (ARIMA), and regression models.
Develop objective forecasts for business applications such as sales, demand, inventory, and financial time series.
Build and interpret predictive models for qualitative outcomes using logistic and probit regression.
Evaluate, compare, and combine alternative forecasting methods to improve forecasting accuracy.
Implement forecasting models using R, and where appropriate, SPSS.
Gain practical experience through a comprehensive forecasting project that can be directly applied in their own organisations.
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
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Prashansa Uttam
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