About this Specialization

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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.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 5 months to complete
Suggested 2 hours/week
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 5 months to complete
Suggested 2 hours/week
English
Subtitles: English

There are 5 Courses in this Specialization

Course1

Course 1

Supply Chain Analytics Essentials

4.6
stars
211 ratings
57 reviews
Course2

Course 2

Business Intelligence and Competitive Analysis

4.3
stars
7 ratings
2 reviews
Course3

Course 3

Demand Analytics

4.4
stars
59 ratings
13 reviews
Course4

Course 4

Inventory Analytics

3.9
stars
7 ratings
3 reviews

Offered by

Rutgers the State University of New Jersey logo

Rutgers the State University of New Jersey

Frequently Asked Questions

  • 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! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • 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.

  • 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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • The Specialization consists of five courses, each takes about 4 weeks.

  • A passion and curiosity for improving supply chain performance by data analytics is desirable. Some knowledge on general business concepts and supply chain management is helpful.

  • It will be ideal to start with Supply Chain Analytics Essentials and end with Supply Chain Analytics. The order of the other courses is up to the learner's choice.

  • No. But completing the Specialization can be considered as a big plus in admission to the Rutgers Master of Supply Chain Analytics program.

  • Discover and solve supply chain problems by data analytics; see job opportunities and make data-drive career decisions.

More questions? Visit the Learner Help Center.