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    Predictive Analytics for Business Forecasting
    Indian Institute Of Management Bangalore

    Predictive Analytics for Business Forecasting

    Indian Institute Of Management Bangalore, Bangalore
    HomeData & AIIndian Institute Of Management BangalorePredictive Analytics for Business Forecasting
    4 daysDuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

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    Jan 5 - Jan 8, 2027
    4 days ยท in-person ยท Instructor-Led ยท Bangalore Campus
    Open
    $1,461

    All-inclusive program fee

    About This Program

    Harnessing the power of predictive analytics, the corporate world has witnessed a surge in the adoption of analytical forecasting tools in the recent decades. This may be attributed to an increase in the complexity, competitiveness, and the rate of change in the business environment. The objective of this programme is to present a comprehensive view of the various tools and techniques used in forecasting for managerial decision-making, including the problem of demand estimation, market size determination, sales projections, analysis, and predicting stock prices. The methodology, covering various time series analysis techniques, and regression methods, is presented with an appropriate mix of case analysis and numerical demonstration with the aid of software package (R) to enable the participants to meet their own forecasting needs. Participants would be divided into small groups to work on predictive analytics and forecasting projects that would be either decided/brought by the participants or given to them. Learning from these projects will be the key takeaway from the programme. A better part of a programme day is reserved for participants to work on this project. In addition, the participants are expected to work during the evenings of the programme days. R, a free open-source software, is used throughout the course. Prior experience in working with R will be beneficial. On joining the program, introductory guidelines will be sent to the participants about a week before the programme to help them familiarize themselves with R. In addition, help would be available during the programme days to learn the necessary coding with R.

    Why Indian Institute Of Management Bangalore?

    IIM Bangalore occupies a position in Indian management education that no other institution quite replicates โ€” a school shaped by a post-Independence nation-building mandate that has since grown into one of Asia's most respected research and leadership institutions. Its executive education programs draw participants from across India's most consequential industries, from Bengaluru's technology corridor to Mumbai's financial sector, and bring them into contact with faculty who are as likely to be publishing in top-tier academic journals as advising a government ministry.

    Your Profile

    • The programme is targeted at executives with an analytic mindset intending to use various models in forecasting. While the programme would start with a basic review of statistical techniques, it will be useful if the participants have some introduction to elementary statistics at 10+2 or undergraduate level and previous exposure to forecasting problems in their work.
    • Even if they do not have hands-on experience in solving such problems at any level. Participants are encouraged to bring data that are specific to a forecasting problem of individual interest; otherwise, they will be given alternative datasets to work on during the programme.

    Benefits

    • Understand and implement various time series (Decomposition, smoothing, Box Jenkins) and regression models to present objective forecasts of sales, demands, stock prices, etc.
    • Produce and interpret forecasts of qualitative response based on probit and logit models.
    • Forecast growth of a new product using Bass-type models.
    • Critically compare and combine various methods used for forecasting.

    What You'll Learn

    • Basic statistical concepts: standard error, confidence interval estimation, and significance values in testing.
    • Simple and Multiple regression
    • Logit Probit Models
    • Time Series Decomposition Models
    • Smoothing Models
    • Box Jenkins (ARIMA)
    • ARIMA with regression errors and ARIMAX
    • Models for time series with multiple-level seasonality.
    • Bass Model for new product forecasting
    • Combining Forecast and Forecast Evaluation
    • Forecasting projects/case studies from Industry
    • Project work and presentations

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8โ€“15 years of professional experience.

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      Contact the school

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    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

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