Demand Forecasting Principles , Models & Kpis

What you'll learn
Forecasting Principles
Forecasting Models
Forecasting KPIs
Optimization
Requirements
Should know Basic excel and statistics
Description
This is my second course on Udemy after getting a very good response to my first course ( How to prepare for CPIM). In this course, I will be sharing the crux of forecasting that I have learned in my CPIM ( Certified in Planning and Inventory Management ) course, MITx - Supply Chain Analytics course, and my 5 years of industrial experience working as a Demand Planner in various MNCs. Also, you will learn to build models like the Naive Forecasting Method, Moving Average Forecasting Method, Weighted Average Forecasting Method, and Exponential Smoothing Forecasting Method from scratch in excel. Learning forecasting in excel is the foundation of learning forecasting in programming languages like Python and R.Also, you learn about following forecasting KPIs1. Forecast Accuracy2. Average Bias3. MAPE ( Mean Absolute Percentage Error)4. MAE( Mean Absolute Error)5. RMSE( Root Mean Square Error)You will learn about how to optimize your forecasting model in Excel using solver tool.Those who are planning to appear for the CPIM exam can expect 10-15 questions from this course in the exam.I wish all the students all the very best for this course . If you have any doubts feel free to reach out in Q&A section.After this course I will be soon launching the advanced demand forecasting course .
Overview
Section 1: Introduction
Lecture 1 My Introduction
Section 2: Forecasting Principles
Lecture 2 Forecasting Principles
Section 3: Forecasting Models 1
Lecture 3 Naive Forecasting
Lecture 4 Moving Average
Section 4: Forecasting KPIs
Lecture 5 Forecasting KPIs - Part 1
Lecture 6 Forecasting KPIs - Part 2
Lecture 7 Forecasting KPIs - Part 3
Section 5: Forecasting Model 2
Lecture 8 Exponential Smoothing
Lecture 9 Optimizing
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Homepage

https://www.udemy.com/course/demand-forecasting-principles-models-kpis/

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