Business Forecasting
Address business challenges and tap opportunities through business forecasting and other predictive techniques

6 Weeks programme

Contact hours: 48 hours

  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
For Enrollment
Programme Objectives
The “Business Forecasting” programme offers a skill-building platform to professionals across industries and business functions. The programme imparts a quantitative flavor to the art of business forecasting. The programme awards expertize to participants in deploying time series forecasting and predictive modelling techniques to identify business opportunities as well as business challenges ahead.
Who should go for the Programme?
The “Business Forecasting” programme has been designed & developed primarily for professionals interested in addressing business challenges using the powerful tools & techniques of Business Forecasting. The programme facilitates competency development in time series forecasting and other predictive techniques, and is beneficial for professionals across industries (manufacturing, retail, banking, automobiles, airlines, telecommunications, media, etc) as well as across business functions (marketing, finance, strategy, operations, supply chains, etc).

Key Takeaways

  • Understand & analyze various time series data
  • Gain proficiency in different forecasting and predictive techniques prevalent in the industry
  • Articulate the dos-and-don’ts of a business forecasting initiative
  • Execute & manage business forecasting processes for their businesses
  • Effectively & efficiently forecast future values of relevant business KPIs/ metrics

Learning Mode

Curriculum Overview

Components of Time Series data
Time Series Additive Model
Time Series Multiplicative Model
Predictive Analytics techniques
Measuring the Seasonal Index
Moving Averages
Fitting Linear trends
Fitting non-Linear trends
Least Squares estimation
Piece-wise estimation
Exponential Moving Averages
Holt-Winter model
Correlogram Analysis
ARMA Modelling
ARIMA Modelling
ARIMAX Modelling
ARCH/ GARCH Modelling
Identification & Treatment
Additive outliers
Multiplicative outliers
Level-shift outliers

Are there any Learning Pre-requisites?

The “Business Forecasting” programme is essentially of a relatively specialized nature, and hence there are certain learning pre-requisites for the programme.
In order to enhance the efficiency & effectiveness of participants’ learning, it is desirable that participants possess some basic knowledge of Statistics. In addition, prior awareness of and/or exposure to probability theory, linear algebra and calculus would facilitate participants’ learning efficiency.
Prior knowledge of computer programming is not necessary, though this will provide an added advantage.
Participants with no prior exposure to the learning pre-requisites (Statistics, probability theory, probability distributions, etc), as well as participants who wish to refresh their knowledge of these areas, can rapidly bring themselves up to speed through our specially-designed preparatory programme – the “Essentials of Business Analytics” programme.


Business Forecasting

MEET Our Consultants & Faculty

Dr. Goutam Das

Ph.D. (Economics) IIFT Delhi, M. Tech (Computer Engg) IIT Kharagpur
B.E. (Electronics & Comm) V-NIT Nagpur
30+ Years of experience in IT and Analytics [Business Analytics, Big Data Analytics, AI Machine Learning.
Ex-Cheif Data Scientist at Power Foundation of India...

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Dr. Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University.
B. Stats. & M. Stats., Indian Statistical Institute, Calcutta.
Ex-Chief Scientist & Founder, PlanetRisk Inc, Bethesda, US.
20+ years of industry exp. with Morgan Stanley, Barclays Capital etc.

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Mr. Aditya Biswas

B. Tech. (Mechanical) & M. Tech (Industrial Engg. & OR) IIT, Kharagpur.
Ex-Principal Consultant in TCS, Head of IT in Allahabad Bank.
Specialized in Process Optimization, R & D and Management Consulting.
30+ yrs of industry exp.

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Gautam Mukherjee

B.Tech (Electronics & Comm) IIT Kharagpur, M.Tech (Electrical Engg) IIT Madras.
30+ Years of experience in R&D in IT, Telecom. Ex Scientist at DRDO

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Somnath Sinha

B.Tech. (Electrical Engg), IIT Bombay.
PGDM, IIM Calcutta.
20+ yrs with IBM as IT Services Leader, CIO, HR Director &s Director, Integrated Operations.
Partnered with Accenture, IBM, PwC, KPMG, E&Y, etc.
30+ years of industry exp.

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Prof. B. B. Chakrabarti

Ph.D. in Economics, Gold Medalist PGDM, IIM Calcutta.
Gold Medalist - BE, Jadavpur Univ.
20+ yrs as a Renowned Prof of Finance at IIM Calcutta.
24+ years of Industry experience with United Nations, Deustche Bank etc.

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