About this Course

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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 9 hours to complete
English
Subtitles: English

What you will learn

  • Use data analytics to predict demand with trend (as in new product introduction), seasonality, price elasticity and other environmental factors.

  • Identify the key drivers for demand and quantify their impact.

  • Build, validate and improve forecasting models with both continuous and categorical variables.

Skills you will gain

Model Selection Validation ImprovementRegression AnalysisDemand Planning and ForecastingData Visualization (DataViz)Marketing Analytics
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 9 hours to complete
English
Subtitles: English

Instructor

Offered by

Rutgers the State University of New Jersey logo

Rutgers the State University of New Jersey

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Welcome!

2 hours to complete
3 videos (Total 15 min), 2 readings, 2 quizzes
3 videos
Course overview5m
General principles of demand planning and forecasting5m
2 readings
Is this course right for me?20m
Four Pillars of Demand Planning Excellence30m
1 practice exercise
General principles30m
Week
2

Week 2

2 hours to complete

Predicting Trend

2 hours to complete
5 videos (Total 23 min), 3 readings, 3 quizzes
5 videos
Data collection, pre-processing and visualization2m
Data visualization screencast3m
Build and interpret a linear model8m
Build and interpret a linear model screencast2m
3 readings
Software selection and preparation20m
The visualization example10m
Build and interpret a linear model: example10m
1 practice exercise
Predicting trend20m
Week
3

Week 3

2 hours to complete

Predicting the Impact of Price and Other Environmental Factors

2 hours to complete
3 videos (Total 15 min), 1 reading, 3 quizzes
3 videos
Multiple regression for trend, price and other factors6m
Multiple regression screencast3m
1 reading
Multiple regression example10m
2 practice exercises
Model validation and improvement25m
Multiple regression15m
Week
4

Week 4

2 hours to complete

Predicting Seasonality

2 hours to complete
3 videos (Total 17 min), 2 readings, 2 quizzes
3 videos
Forecasting and testing4m
Forecasting and testing screencast4m
2 readings
Categorical variables example10m
Forecasting and testing example10m
1 practice exercise
Modeling and formatting categorical variables10m

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About the Supply Chain Analytics Specialization

This Specialization is intended for people seeking to integrate supply chain management with data analytics. Through five courses, you will discover and solve problems in various domains of a supply chain, from source, make, move to sell. Upon completion, you will learn concrete data analytics skills and tools to improve supply chain performance. Supply Chain Analytics Essentials: Supply chain pain points and how analytics may relieve them, job opportunities and intelligence. Business intelligence and Competitive Analysis: Use data analytics to assess the competitive environment and identify business problems and opportunities. Demand Analytics: Data analytics for demand forecasting and planning. Inventory Analytics: Discover and solve inventory problems - an essential part of Sales & Operations Planning. Supply Chain Analytics: Use analytics to design logistics strategies for a large-scale distribution system....
Supply Chain Analytics

Frequently Asked Questions

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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