Demand Forecasting

4.1

Learners: 72

Instructor: Maxusknowledge Team

Duration:

This course on Demand Forecasting will provide students and professionals with the knowledge and skills to accurately forecast demand. Through 28 lectures, you will learn the different methods of forecasting, including qualitative methods such as Delphi method, Sales force forecasting, Executive opinion and Customer survey/market research. You will also learn how to find the forecast when the historical data has a trend, as well as the fundamentals of simple moving average, weighted moving average, exponential smoothing, and seasonal influence in forecasting. Finally, you will learn how to measure forecasting error using Mean Squared error (MSE), Standard deviation (sigma), Mean absolute deviation (MAD) and Mean absolute percent error (MAPE). This course is ideal for those studying operations management or working in the IT industry. ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2022-09-09

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 25th, 2023]

This course on Demand Forecasting provides an overview of the different methods of forecasting, including qualitative methods such as Delphi method, Sales force forecasting, Executive opinion and Customer survey/market research. It also covers the concepts of how to forecast when the historical data has a trend. This course is beneficial for students studying operations management, as well as professionals working in the IT industry who are responsible for the planning and implementation of demand forecasting. The course consists of 28 lectures, covering the main topics of demand forecasting, such as Fundamentals of demand forecasting, Components of demand, Qualitative methods of forecasting, Fundamentals of simple moving average, Fundamentals of weighted moving average, Fundamentals of Exponential smoothing, Value of alpha for exponential smoothing, Fundamentals of trend adjusted exponential smoothing, Fundamentals of Seasonal influence in forecasting using multiplicative seasonal method, Linear regression using Causal relationship forecasting, Fundamentals of Seasonal influence in forecasting and Measurement of Forecasting error using Mean Squared error (MSE), Standard deviation (sigma), Mean absolute deviation (MAD) and Mean absolute percent error (MAPE). Examples are provided for each of these topics.