Supply Chain Analytics – Demand Forecasting
Supply Chain Analytics – Demand Forecasting, available at $39.99, has an average rating of 3.75, with 20 lectures, based on 18 reviews, and has 1056 subscribers.
You will learn about Harnessing the Power of Time: A Comprehensive Guide to Time Series and Causal Modeling in Excel From Data to Insights: A Step-by-Step Guide to Time Series and Causal Modeling in Excel Moving Average & Weighted Moving Average Model Learn to Calculate Forecasting KPIs – MAD , MAPE & RMSE AR Model ARIMA Model Causal Model Linear & Multiple Regression Analysis Making Sense of Data Forecasting and Predictive Analytics Causal Inference and Counterfactual Analysis Understand the assumptions and limitations of different time series forecasting models This course is ideal for individuals who are Demand Planning Managers or Supply Chain Managers or Supply Chain Analyst or Data Scientist or Data Engineer or Data Analyst or Business Analyst or Demand Forecasting or Business Forecasting It is particularly useful for Demand Planning Managers or Supply Chain Managers or Supply Chain Analyst or Data Scientist or Data Engineer or Data Analyst or Business Analyst or Demand Forecasting or Business Forecasting.
Enroll now: Supply Chain Analytics – Demand Forecasting
Summary
Title: Supply Chain Analytics – Demand Forecasting
Price: $39.99
Average Rating: 3.75
Number of Lectures: 20
Number of Published Lectures: 20
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- Harnessing the Power of Time: A Comprehensive Guide to Time Series and Causal Modeling in Excel
- From Data to Insights: A Step-by-Step Guide to Time Series and Causal Modeling in Excel
- Moving Average & Weighted Moving Average Model
- Learn to Calculate Forecasting KPIs – MAD , MAPE & RMSE
- AR Model
- ARIMA Model
- Causal Model
- Linear & Multiple Regression Analysis
- Making Sense of Data
- Forecasting and Predictive Analytics
- Causal Inference and Counterfactual Analysis
- Understand the assumptions and limitations of different time series forecasting models
Who Should Attend
- Demand Planning Managers
- Supply Chain Managers
- Supply Chain Analyst
- Data Scientist
- Data Engineer
- Data Analyst
- Business Analyst
- Demand Forecasting
- Business Forecasting
Target Audiences
- Demand Planning Managers
- Supply Chain Managers
- Supply Chain Analyst
- Data Scientist
- Data Engineer
- Data Analyst
- Business Analyst
- Demand Forecasting
- Business Forecasting
“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 forecastingand take you to advance industry practices.
You will learn to build the following Time Series & Causal models.
1. Naive Forecasting
2. Moving Average
3. Weighted Average
4. Exponential Smoothing ( Single, Double & Triple )
5. AR ( Auto Regressive ) Model
6 . ARIMA (Auto Regressive Integrated Moving Average ) Model
7. Linear & Multiple Regression Analysis
8. Causal Models
Not everyone is an expert in programming languages so Excel can be a good alternative or good start 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.
Forecasting is an essential business process that helps organizations plan and prepare for the future by predicting consumer demand for products and services. Excel is a powerful tool that can be used to create accurate demand forecasts and assist in decision-making processes. Here are some reasons why you should learn demand forecasting with Excel:
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Widely Used: Excel is a widely used spreadsheet program and is readily available in most organizations. Learning demand forecasting with Excel can help you use a tool that is accessible to you and your colleagues.
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Easy to Learn: Excel is relatively easy to learn, and many online resources provide tutorials and courses to learn the basics of using Excel for demand forecasting.
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Cost-Effective: Excel is a cost-effective solution for demand forecasting compared to other more expensive software tools.
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Versatile: Excel is a versatile tool that can handle large data sets and can be used to create a wide range of models and visualizations.
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Integrates with other tools: Excel can be used in conjunction with other business tools such as ERP systems, CRM systems, and BI software.
By learning demand forecasting with Excel, you can improve your forecasting accuracy, save time, and make more informed business decisions.
Hurry Up !! Enroll
Course Curriculum
Chapter 1: Introduction
Lecture 1: Udemy Portal Navigation
Lecture 2: Best Practices for Understanding Course Content
Lecture 3: Meet Your Course Leader: A Comprehensive Introduction to Your Instructor
Lecture 4: Content Overview
Chapter 2: Time Series Forecasting With Excel
Lecture 1: Naive Forecasting
Lecture 2: Moving Average
Lecture 3: Exponential Smoothing
Lecture 4: Auto Regressive Model Theory
Lecture 5: Auto Regressive Model
Lecture 6: Linear Regression Theory
Lecture 7: Linear Regression Model
Lecture 8: Causal Model – Multiple Linear Regression Theory
Lecture 9: Causal Model – Multiple Linear Regression
Chapter 3: Fun & Learn
Lecture 1: Surprise 🙂
Chapter 4: Practice Assignments
Chapter 5: Advance Forecasting Pro – Tips
Lecture 1: Optimizing
Lecture 2: Data Management
Lecture 3: Training & Testing Dataset
Chapter 6: One Click Forecasting-Bonus Lecture
Lecture 1: Learn to do forecasting in just one click of Excel
Lecture 2: Limitations
Lecture 3: AAA Exponential Smoothing Method – Triple ES
Instructors
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Akshay Yewale
Supply Chain Sensei
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 6 votes
- 5 stars: 6 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.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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