Demand Forecasting-Supply Chain : End to End Guide

Demand Forecasting-Supply Chain : End to End Guide

“There are two kinds of forecasters: those who don't know, and those who don't know they don't know.”

Wouldn’t it be nice to see into the future of your business?

With business forecasting, this is a reality; by using current and historical data you are able to have accurate predictions for future trends and forecasts. With this increased visibility you can analyze your business as a whole with the utmost confidence in the data.

The course will start with the basic principles of forecasting and its importance.

Then you will learn to build models like the

1. Naive Forecasting Method

2. Moving Average

3. Weighted Average

4. Exponential Smoothing

5. Auto Regressive Forecasting Method from scratch in excel.

Not everyone is an expert in programming languages so excel can be good alternative to build models.

Learning forecasting in excel is the foundation of learning forecasting in programming languages like Python and R.

Practice assignments for all the models forecasting and KPI calculation is part of the course. Get ready to make your hands dirty.

Most importantly you will learn the pros and cons of all these models mentioned above. These models form the fundamentals of all advanced forecasting models.

Also, you learn about following forecasting KPIs

1. Forecast Accuracy

2. Average Bias

3. MAPE ( Mean Absolute Percentage Error)

4. MAE( Mean Absolute Error)

5. RMSE( Root Mean Square Error)

The lessons cover details of all the KPIs. Which is the right KPI for you? What is the best KPI? What are the pros and cons of all and how do calculate it? All this will be covered in the course.

See you soon in the course.

Learn Industry Leading skills to be an expert Demand Forecasting Professional

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What you will learn

• Forecasting Principles
• Forecasting Models
• Forecasting KPIs

Rating: 4.61111

Level: All Levels

Duration: 2 hours

Instructor: Akshay Yewale