THE SEAT OF
KNOWLEDGE
THE HEART OF
TRANSFORMATION

5-days Workshop on Comprehensive Time Series Forecasting

(Online weekend lectures)

17th August 2025 – 31st August 2025

Background

Organizational activities and resource management involved with high uncertainty leads to difficulties in handling various managerial activities like procurement, demand, resource acquisition and resource management. Hence, forecasting has attracted substantial attention in recent years and it is one of the most important activities within an organization. Forecasting is one of key focus areas of the different industries. Forecasting help managers and policy makers to plan their business. Without accurate forecasting it is difficult to make proper business plan. Time series analysis used in various area of research include Operations, Finance, Economics, etc. Forecasting is generally used for future planning.

Objectives

To familiarize the participants with the importance of forecasting in business.
To familiarize the participants with different tools and techniques to analyze the data patterns in order to identify suitable forecasting models.
To introduce the participants with different traditional and advanced forecasting techniques dealing with both homoscedastic and heteroskedastic data using MATLAB and Python.

Topics to be Covered

Introduction to forecasting, type of forecasts, purpose of forecasting, steps in forecasting, type of data pattern: horizontal, trend, seasonal and cyclical.
Exploring data pattern for stationary, non-stationary, trend, seasonal data series, lag, time series plot, run test, Durbin Watson test, autocorrelation function (AFC), PACF plot, Ljung-Box Q test Transformation of data series.
Time series moving average models: simple moving average, centered moving average, weighted moving average, double moving average. Exponential smoothing models: Single exponential smoothing, double exponential smoothing (Holt’s model), triple exponential smoothing (Holt-Winters’) model.
Autocorrelation function (ACF), Partial Autocorrelation function (PACF), stationarity test: Unit root test (ADF test, KPSS test, PP test.
Autoregressive (AR) model with order one and higher order, Moving average (MA) model with one and higher order, ARMA, ARIMA model.
Engle’s ARCH test, Ljung-Box Q-test, variance ratio test, Different models to deals with heteroscedastic data series like ARCH, GARCH, EGARCH, GJR.
Introduction to Deep Learning and neural networks, prediction using different models like MLP, CNN, LSTM, LSSVM.
Introduction to Machine Learning for Business Forecasting; LASSO, Ridge Regression, Elastic net, SVM.
Decision tree: Random forest, Ensemble and practice session
Discussion of various research articles with applied time series models.

Pedagogy

Lectures and Research papers/Case Studies discussion
Hands-on with MATLAB and Python
Study Material Provision for Pre-class preparation

Mode of the Workshop

Weekend
*Online mode and duration is 30hrs

Who can join

Research Scholars, Academicians and industry practitioners intending to apply various traditional and advanced time series models in their work are invited.

Registration Fees

Rs.10,000 + GST (18%) per participant. The registration includes :

Program certificate
Study material (softcopy of reading material)
Software access.

Registration Process

Click Here

Payment link will be open till 11:59 pm of 10th Aug 2025

* Once payment done keep a copy of the payment receipt and also share the same to email id: sanjita@iimshillong.ac.in
* Upon receipt of the online registration form and fee remittance receipt, participants will be sent confirmation of their participation through email.
* Candidates are advised to register at the earliest as the number of seats is limited.
* In case we do not get the minimum number of registration, then workshop will be cancelled, and the fee will be refunded.

Resource Persons

Prof. Sanjita Jaipuria
Associate Professor
Operations and Quantitative Techniques

Prof. Pradeep Kumar Dadabada
Associate Professor
Information Systems & Analytics

About IIM Shillong

Located in the green contours of the North-Eastern part of the country, IIM Shillong commenced its operation in 2008. It remains committed to excellence in management education and research to evolve into a national and internationally recognized educational institute. High-quality standards and academic rigor are considered the hallmark of IIM Shillong. IIM Shillong emphasizes sustainable development in business practices. The institute strives to impact its students’ ethical values, compassionate behavior, and concern for society.