Global Research & Training presents four days online hands-on workshop on 

Time Series Modelling & Forecasting using Software: Concepts, Techniques, and Applications

Workshop Overview:

In an era where data is generated and collected at an unprecedented rate, the ability to analyze and make sense of time-based or chronological data has become a crucial skill across various disciplines. Many Students, Research Scholars, Early Career Researchers, Faculty Members, Data Analysts and professionals find time series analysis challenging due to its technical nature and the lack of accessible, application-oriented training. To bridge this gap, Global Research & Training is organizing a two-day intensive online hands-on workshop titled
“Time Series Modelling & Forecasting using Software: Concepts, Techniques, and Applications”.

This workshop is designed with a clear vision to empower participants with a thorough understanding of time series modelling from basics to advanced, and emphasizing practical software-based implementation. Participants will explore how to handle and analyse time-series data, assess trends and seasonality, apply statistical models. This workshop is uniquely structured to bridge the gap between theory and practice, making it highly relevant for academic research, industry applications, and policy-oriented analysis. Importantly, all sessions will be supported by live demonstrations and hands-on training using statistical software. By combining theoretical clarity with real-world data analysis and forecasting applications, the workshop ensures participants are not only learning concepts but also research-relevant skills. In short, this workshop responds to a vital and growing demand in both academia and industry for professionals who can transform temporal data into actionable insights.

Program Highlights:
Date: September 11th - 14th, 2025
Time: 3:00 PM to 6:00 PM IST

Mode: Online (Live via Google Meet)

Program Fees:

For Indian Participants: Students: ₹ 499 INR | Research Scholars: ₹ 649 INR | Faculty & Others: ₹ 799 INR | Organizations/Industry: ₹ 999 INR 

For International Participants: Students: $ 6 USD | Research Scholars:  $ 9 USD | Faculty & Others: $ 12 USD | Organizations/Industry: $ 15 USD 

International participants may pay thru PayPal. PayPal id: info@grtedu.com 

 Topics Coverage: 

Basics

Introduction to Time Series and its Applications

Key Components: Trend, Seasonality, Cyclical & Irregular Variations

Visualization and Decomposition (Additive, Multiplicative, Classical & STL)

Time Series Properties and Data Transformations (Log, Differencing, etc.)

Stationarity & Unit Root Tests (ADF, KPSS)

Intermediate

ARIMA Family of Models:

AR (Auto-Regressive) Model, MA (Moving Average) Model, ARIMA (Autoregressive integrated moving average) Model

Seasonal ARIMA (SARIMA)

Exponential Smoothing:

Simple, Holt’s Linear Trend, Holt-Winters Methods

Model Selection & Validation:

ACF, PACF, AIC, BIC, Residual Checks (Ljung-Box)

Forecasting Approaches: Point Forecasts, Intervals & Accuracy Metrics

MAE, RMSE, MAPE

Advanced

Vector AutoRegression (VAR) and Granger Causality

GARCH Models for Volatility Forecasting

Intervention Analysis (CUSUM, Chow Test)

Modern Approaches (Prophet) and Real-World Applications

Details of topic coverage and other information will be shared with participants thru email. 

Who Should Attend?

This workshop is designed to cater to a broad audience including students, research scholars, early career researchers, faculty members, Data Analysts, professionals from a variety of academic and professional backgrounds and Anyone interested in learning time series forecasting with applied tools. Participants from across disciplines such as economics, statistics, social sciences, education, sciences, business, management, medical, and engineering, among others, will find this workshop especially beneficial for enhancing their quantitative research and analytical capabilities.

Why Should Join?

This workshop offers a unique opportunity to gain a complete learning experience including theoretical and hands-on exercise, guiding participants from the basics of time series analysis to advanced modelling and forecasting techniques. Real-world datasets and expert-led instruction ensure a deep, application-oriented understanding. Whether you are aiming to enhance your research, support data-driven decision-making, or build career-relevant skills, this workshop will equip you with the confidence and competence to effectively handle time series analysis in academic or professional settings.

Contact for Queries:

To register or for any inquiry, feel free to get in touch with us via the following contact details. We are here to assist you!

Email: info@grtedu.com

Alternative Email: grtedu@outlook.com 

Website: www.grtedu.com