- Level Foundation
- المدة 9 ساعات hours
- الطبع بواسطة Rutgers the State University of New Jersey
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Offered by
عن
Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting. Upon the completion of this course, you will be able to 1. Improve the forecasting accuracy by building and validating demand prediction models. 2. Better stimulate and influence demand by identifying the drivers (e.g., time, seasonality, price, and other environmental factors) for demand and quantifying their impact. AK is a leading cookware manufacturer in North America. Its newly launched top-line product was gaining momentum in the marketplace. However, a price adjustment at the peak season stimulated a significant demand surge which took AK completely by surprise and resulted in huge backorders. AK faced the risk of losing the market momentum due to the upset customers and the high cost associated with over-time production and expedited shipping. Accurate demand forecast is essential for increasing revenue and reducing cost. Identifying the drivers for demand and assessing their impact on demand can help companies better influence and stimulate demand. I hope you enjoy the course!الوحدات
The Story of AK MetalCrafters and Course Overview
1
Discussions
- Introduction
2
Videos
- The story of AK MetalCrafters
- Course overview
1
Readings
- Is this course right for me?
General Principles of Demand Planning and Forecasting
1
Assignment
- General principles
1
Peer Review
- Demand planning and forecasting example(s)
1
Videos
- General principles of demand planning and forecasting
1
Readings
- Four Pillars of Demand Planning Excellence
The Basics of Statistical Forecasting Models
1
Videos
- The basics of statistical forecasting models
1
Readings
- Software selection and preparation
Data Collection, Pre-processing and Visualization
1
Peer Review
- Data visualization
2
Videos
- Data collection, pre-processing and visualization
- Data visualization screencast
1
Readings
- The visualization example
Build and Interpret a Linear Model
1
Assignment
- Predicting trend
1
Peer Review
- Build a linear model
2
Videos
- Build and interpret a linear model
- Build and interpret a linear model screencast
1
Readings
- Build and interpret a linear model: example
Validate and Improve Forecasting Models
1
Assignment
- Model validation and improvement
1
Videos
- Model validation and improvement
Multiple regression for trend, price and other factors
1
Assignment
- Multiple regression
1
Peer Review
- A mini-project - build your multiple regression model without home sales
2
Videos
- Multiple regression for trend, price and other factors
- Multiple regression screencast
1
Readings
- Multiple regression example
Modeling and Formatting Categorical (Seasons) Variables
1
Assignment
- Modeling and formatting categorical variables
1
Videos
- Categorical variable (seasonality) modeling and formatting
1
Readings
- Categorical variables example
Forecasting and Testing
1
Peer Review
- A mini-project: Build a new seasonality model on your own
1
Discussions
- Recap - back to the future
2
Videos
- Forecasting and testing
- Forecasting and testing screencast
1
Readings
- Forecasting and testing example
Auto Summary
Demand Analytics is a foundational course in Business & Management, designed to enhance your skills in demand planning and forecasting. Using real-life data from a leading North American cookware manufacturer, you'll learn to improve forecasting accuracy and identify demand drivers. The course is 540 minutes long and available through Coursera with a Starter subscription. Ideal for those in supply chain management and marketing, it equips you to boost revenue and reduce costs by mastering demand analytics.

Yao Zhao