Business Forecasting Course: Learn Predictive Analytics with IIT Bombay | 8-Week Guide
Course Details
| Exam Registration | 1533 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 8 weeks |
| Categories | Management Studies |
| Credit Points | 2 |
| Level | Undergraduate/Postgraduate |
| Start Date | 16 Feb 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 16 Feb 2026 |
| Exam Registration Ends | 27 Feb 2026 |
| Exam Date | 26 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Future: A Comprehensive Guide to Business Forecasting
In today's volatile business landscape, the ability to anticipate future trends, demand, and risks is not just an advantage—it's a necessity. Business forecasting is the powerful discipline that empowers organizations to move from reactive decision-making to proactive strategy. This detailed guide explores an exceptional 8-week course designed by a leading expert from IIT Bombay, providing you with a roadmap to master predictive analytics and shape your business's future.
Your Expert Instructor: Prof. Pankaj Dutta
Learning from the best accelerates your journey. This course is crafted and delivered by Prof. Pankaj Dutta, a distinguished professor in Decision Sciences and Operations Research at the Shailesh J. Mehta School of Management, IIT Bombay. With a PhD from IIT Kharagpur and postdoctoral experience at EPFL, Switzerland, Prof. Dutta brings a wealth of global academic and research expertise. His accolades include departmental teaching awards, best paper awards, and guiding PhD scholars to thesis awards. His research, published in top-tier journals, focuses on data analytics, supply chain management, business forecasting, and decision-making under uncertainty—making him the ideal mentor for this subject.
Course Overview: What You Will Learn
This intensive 8-week program is structured to transform you from a novice to a proficient practitioner in business forecasting. It blends foundational theories with cutting-edge applications in data analytics and machine learning.
Course Duration: 8 Weeks
Level: Undergraduate/Postgraduate
Category: Management Studies
The course is designed to help you:
- Understand the pivotal role of forecasting in business planning and strategy.
- Master both qualitative and quantitative forecasting approaches.
- Deconstruct time series data into trend, seasonality, and cyclical components.
- Apply forecasting models for demand planning, resource allocation, and risk management.
- Gain hands-on insight into predictive analytics applications using modern tools.
Who Should Enroll?
This course is meticulously designed for a wide audience:
- Students (UG/PG/PhD): Looking to build a strong foundation in analytics.
- Faculty: Seeking to enhance their curriculum with practical forecasting techniques.
- Industry Professionals: From sectors like marketing, finance, supply chain, retail, and project management who want to make data-driven decisions.
Prerequisites: A basic understanding of quantitative methods is beneficial. The course is accessible to all graduate and postgraduate students from science and engineering backgrounds.
Detailed 8-Week Course Curriculum
Here is a week-by-week breakdown of the comprehensive curriculum:
| Week | Topics Covered |
|---|---|
| Week 1 | Introduction to Business Forecasting, Data-Driven Decision Making, Types of Forecasting (Qualitative & Quantitative). |
| Week 2 | Time Series Components, Forecast Accuracy Measures, Moving Average Methods (Simple, Weighted, Exponential). |
| Week 3 | Exponential Smoothing, Trend Projections, and the Holt Model. |
| Week 4 | Regression Analysis, Measure of Goodness, and Standard Error. |
| Week 5 | Seasonality (Seasonal Index, Quarterly Average), Holt-Winter Method, Decomposition Method. |
| Week 6 | Autocorrelation (ACF & PACF), Introduction to ARIMA models. |
| Week 7 | Introduction to Machine Learning, Logistic Regression, Integrating Human Judgment in Analysis. |
| Week 8 | Monte Carlo Simulation for Risk Analytics, Predictive Analytics using @Risk software/Python. |
Essential Reading Materials
To deepen your understanding, the course references authoritative texts:
- Text Book: Business Forecasting by John E. Hanke and Dean Wichern (Pearson, 9th Edition).
- Reference Books:
- Business Analytics by Albright and Winston (Cengage Learning).
- Essentials of Business Analytics by Camm, Cochran, et al. (Cengage Learning).
- Forecasting Methods and Applications by Makridakis et al. (Wiley).
- An Introduction to Management Science by Anderson and Williams (Cengage Learning).
- Quantitative Analysis for Management by Render and Stair (Pearson).
Why Business Forecasting is a Critical Skill
Mastering business forecasting enables you to:
- Reduce Uncertainty: Make informed decisions by anticipating market changes, customer demand, and potential disruptions.
- Optimize Operations: Improve inventory management, supply chain logistics, and resource allocation.
- Drive Strategic Growth: Identify new opportunities and allocate capital efficiently for sustainable expansion.
- Manage Risk: Use simulations and analytics to prepare for various business scenarios and mitigate potential losses.
This course, with its blend of classical time-series analysis and modern machine learning techniques, guided by an expert from IIT Bombay, is your definitive pathway to becoming a strategic asset in any data-driven organization. Start your journey to mastering the future today.
Enroll Now →