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Demand Forecasting using Excel Template
Rating: 4.4 out of 5(58 ratings)
141 students

Demand Forecasting using Excel Template

Excel Template for Forecasting Demand
Created byPattabhi Raman
Last updated 8/2024
English

What you'll learn

  • Students will gain a strong foundation in the core concepts relevant to the subject matter of the course.
  • Utilize Excel templates for demand forecasting, project timeline estimation, and budgeting.
  • Get better at learning the subject
  • Get trained on expert level question on data science

Course content

1 section11 lectures2h 21m total length
  • Demand Forecasting Basic Concept26:21
  • Various methods of Demand Forecasting15:35
  • Forecast Performance8:34
  • Simple Linear Regression11:10
  • Regression Model14:45
  • Multiple Regression Model8:58
  • Excel Template A4:51
  • Excel Template B25:49
  • Excel Template C10:10
  • Excel Template D15:29

    Develop demand forecasts with Excel by regression modeling, using GDP and PCE as predictors, analyze correlation, and build simple and multiple regression equations for quarterly forecasts.

  • Excel Template Files0:06

Requirements

  • No prior requirements

Description

Demand Forecasting using Excel Template

This course provides a comprehensive understanding of demand forecasting techniques using Excel templates. Demand forecasting is a critical aspect of business operations, enabling organizations to predict customer demand accurately and plan production, inventory, and resource allocation efficiently. Through this course, participants will gain practical skills in using Excel templates to perform various demand forecasting methods.

The course begins with an introduction to demand forecasting concepts, explaining the importance of accurate forecasting in business decision-making processes. Participants will learn about different types of demand forecasting models, including qualitative, quantitative, and mixed methods, and understand when to apply each model based on the nature of the data and business context.

Using Excel templates, participants will explore statistical forecasting techniques such as moving averages, exponential smoothing, and regression analysis. They will learn how to analyze historical demand data, identify trends, seasonality, and other patterns, and use this information to generate forecasts for future periods.

Furthermore, the course covers advanced topics such as demand forecasting accuracy evaluation, incorporating external factors like market trends and economic indicators into forecasting models, and dealing with uncertainty and variability in demand.

Throughout the course, participants will work on practical exercises and case studies to reinforce their learning and develop proficiency in using Excel templates for demand forecasting. By the end of the course, participants will be equipped with the knowledge and skills to create accurate demand forecasts using Excel, helping their organizations make informed decisions and optimize resource allocation strategies.


Who this course is for:

  • Any one can take up this