Demand Forecasting

Demand Forecasting, available at $59.99, has an average rating of 4.3, with 28 lectures, based on 47 reviews, and has 224 subscribers.

You will learn about Identify the demand forecasting using different methods and why is it necessary for an organization. Learn qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey or market research. Learn fundamentals of exponential smoothing method for forecasting Calculate forecast using the trend adjusted trend adjusted exponential smoothing method Calculate forecast using Simple moving average and weighted moving average methods. Calculate the Mean absolute deviation (MAD), Mean Absolute percent error (MAPE) and tracking signal for these forecasted values. This course is ideal for individuals who are The course can be useful for students studying operations management, professionals working in IT or Management industry responsible for optimizing demand forecasting It is particularly useful for The course can be useful for students studying operations management, professionals working in IT or Management industry responsible for optimizing demand forecasting.

Enroll now: Demand Forecasting

Summary

Title: Demand Forecasting

Price: $59.99

Average Rating: 4.3

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will Learn

Identify the demand forecasting using different methods and why is it necessary for an organization.
Learn qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey or market research.
Learn fundamentals of exponential smoothing method for forecasting
Calculate forecast using the trend adjusted trend adjusted exponential smoothing method
Calculate forecast using Simple moving average and weighted moving average methods.
Calculate the Mean absolute deviation (MAD), Mean Absolute percent error (MAPE) and tracking signal for these forecasted values.

Who Should Attend

The course can be useful for students studying operations management, professionals working in IT or Management industry responsible for optimizing demand forecasting

Target Audiences

The course can be useful for students studying operations management, professionals working in IT or Management industry responsible for optimizing demand forecasting

In this course, you will learn the different methods of Demand Forecasting including examples. In this course, you will also learn about the qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey / market research. You will also learn the concepts of how to find out the forecast when the historical data has a trend.

This course can be useful for students studying operations management, professionals working in IT industry responsible for the planning and implementation of demand forecasting. There will be 28 lectures in the course covering the main topics of demand forecasting.

Following are the lectures that are part of the demand forecasting course- 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). This will also covers the examples of each of these topics.

Please note that this course does not contain usage of Excel for Demand Forecasting. However, it explains all the techniques and fundamentals with elaborate examples in detail.

Course Curriculum

Chapter 1: Fundamentals

Lecture 1: Fundamentals of Demand Forecasting

Lecture 2: Components of demand

Lecture 3: Qualitative methods of forecasting

Lecture 4: Simple moving average – Fundamentals

Lecture 5: Weighted moving average – Fundamentals

Lecture 6: Exponential smoothing – Fundamentals

Lecture 7: Value of alpha for exponential smoothing

Lecture 8: Trend adjusted exponential smoothing – Fundamentals

Lecture 9: Seasonal influence in forecasting – Fundamentals

Lecture 10: Measurement of Forecasting error – Part 1

Lecture 11: Measurement of Forecasting error – Part 2

Lecture 12: Measurement of Forecasting error – Part 3

Chapter 2: Examples of Demand Forecasting

Lecture 1: Simple moving average – Example 1

Lecture 2: Weighted moving average – Example 1

Lecture 3: Simple exponential smoothing – Example 1

Lecture 4: Time series methods – Example 1

Lecture 5: Trend adjusted exponential smoothing – Example 1

Lecture 6: Trend adjusted exponential smoothing – Example 2

Lecture 7: Trend adjusted exponential smoothing – Example 3

Lecture 8: Seasonal influence in forecasting – Example 1

Lecture 9: Seasonal influence in forecasting – Example 2

Lecture 10: Measurement of error MAD – Example 1

Lecture 11: Measurement of error (MAD and MAPE) – Example 2

Lecture 12: Linear regression – Example 1 – Part 1

Lecture 13: Linear regression – Example 1 – Part 2

Lecture 14: Linear regression – Example 2

Lecture 15: Causal relationship forecasting – Example 1

Lecture 16: Causal relationship forecasting – Example 2

Instructors

Maxusknowledge Team
Instructor

Rating Distribution

1 stars: 1 votes
2 stars: 4 votes
3 stars: 7 votes
4 stars: 9 votes
5 stars: 26 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

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