Demand Analytics
Master practical demand forecasting methodologies using comprehensive data analytics approaches and advanced regression modeling techniques.
Master practical demand forecasting methodologies using comprehensive data analytics approaches and advanced regression modeling techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Supply Chain Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(272 ratings)
20,394 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Use data analytics to predict demand with trend analysis
Identify key demand drivers and quantify their impact
Build and validate forecasting models
Analyze price elasticity and seasonal patterns
Apply multiple regression techniques
Develop practical demand planning solutions
Skills you'll gain
This course includes:
0.9 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches practical demand analytics through a real-world case study of a leading cookware manufacturer. Students learn to build and validate demand prediction models using various factors including trends, seasonality, and price elasticity. The curriculum covers data collection, visualization, linear modeling, multiple regression analysis, and categorical variable modeling. Through hands-on projects and mini-cases, participants develop skills to improve forecasting accuracy and better understand demand drivers.
Welcome!
Module 1 · 3 Hours to complete
Predicting Trend
Module 2 · 4 Hours to complete
Predicting the Impact of Price and Other Environmental Factors
Module 3 · 3 Hours to complete
Predicting Seasonality
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Innovator in Supply Chain Management and Analytics
Dr. Yao Zhao is a professor in Supply Chain Management at Rutgers University, holding a Ph.D. in Industrial Engineering and Management Sciences from Northwestern University. His impressive background includes positions as a visiting scholar at MIT's Operations Research Center and a visiting professor at Duke's Fuqua School of Business. With research interests in Supply Chain Management, Analytics, and Healthcare, Dr. Zhao has published in top-tier journals, served as an associate editor for notable publications, and received accolades such as the National Science Foundation Career Award in 2008 and the Dean’s Meritorious Teaching Award in 2016. He is a respected case writer, winning first place in the INFORM Case Writing Competition in 2014. Dr. Zhao has also designed and taught core courses at Rutgers, including Supply Chain Analytics and Healthcare Operations Analysis. His extensive consulting work spans numerous organizations, including General Motors and the Defense Logistics Agency, significantly impacting economic and social outcomes in projects like the energy supply chain in Pakistan and the shuttle system for the 2014 Special Olympics USA Games, achieving exceptional customer satisfaction.
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4.6 course rating
272 ratings
Frequently asked questions
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