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Registered on Digital Government Authority:

20250422704

Training Provider

SIDF Academy
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Language

en
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Date

01/09/2026 - 03/09/2026

Delivery Mode

In Class

Time

09:00 AM - 04:00 PM
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Presented By

Siddhartha Brahma
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Duration

Short

Frequently Asked Questions

Customer Support

Customer Support

Overview

Demand forecasting involves using historical data to estimate and predict future demand by predictive analytics. Thus, it helps individuals to make better - informed decisions in the areas like sales & marketing, budgeting, production planning, inventory and supply chain management for the organization. This course is intended towards understanding the basic and advanced techniques of time-series forecasting and their use in industries. Participants will learn how to read time-series data to build appropriate models for demand forecasting and to optimize the model parameters for forecast accuracy

Program Modules

Forecasting and time series data

Forecasting KPIs

Forecastability

Quantitative Demand Forecasting methods

Forecasting demand for new products

Section 5

  • Program Survey

Program Outcomes

1.    Develop an analytical mindset
2.    Building spreadsheet forecast models based on historical data 
3.    Optimization model parameters for forecast accuracy 
4.    Identify areas in organization where forecasting can be used for improvement

Trainer

Siddhartha Brahma

With over 24 years of experience in teaching, training, and research, currently works with SIDF Academy designing and delivering customized training programs aligned with organizational needs and identified training gaps. Expertise includes Managerial Accounting, Financial Accounting, and Business Strategy. The trainer holds a PhD in Merger & Acquisition (M&A) and is a Certified Management Accountant (CMA), Gold Medalist, and Fellow member of the Institute. Earned an MBA in Finance and an MS in Accounting. Actively engaged in research, with numerous publications in reputable academic journals. Current research interests focus on training transfer and M&A integration.

Last Modified Date: 07/14/2026 - 02:13 AM Saudi Arabia Time

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