This Specialization integrates supply chain management with data analytics and AI-augmented decision-making. Through six courses spanning the source, make, move, and sell functions, you will learn to frame and solve problems, apply data analytics skills (visual storytelling and statistical analysis in Excel and Google Sheets), and critically interpret results to make sound business decisions. You will develop the critical thinking and human judgment needed to identify the right problem to solve and validate AI-generated outputs, so you can frame, solve and decide like a business-savvy, AI-ready supply chain analyst. Supply Chain Analytics Essentials: The financial impact of supply chains (the butterfly effect), supply chain pain points and how analytics may relieve them, job market trends and requirements. Business intelligence and Competitive Analysis: Problem framing and prioritization; breakdown and isolate the operational issues with the greatest financial stakes. Demand Analytics: Data analytics, visualization and interpretation for demand forecasting and planning. Inventory Analytics: Discover and solve inventory problems - an essential part of Sales & Operations Planning. Sourcing Analytics: Supplier intelligence, bargaining power analysis, and supplier benchmarking to identify the right suppliers globally. Supply Chain Analytics: Data analytics and interpretation to design and evaluate logistics and distribution strategies.
Very helpful information to introduce you and learn supply chain analystics and give you the kick start you want to develop your career. I really enjoyed this course i recommend
Very Useful for beginners for getting basic knowledge of business analytics
Used this method practically line by line in my job at a large tech company to project internal request growth. Incredible real world application
Very good course as I got so much to learn on Inventory Module. Thanks for sharing good recorded videos, Assignments and Mini Projects and exposure to Data analysis related to Inventory domain.
Well organisaed course. Good use of quantitative methods to help in supply chain decision making and explaining qualitative method
A good introductory course to the world of supply chain analytics. I really like the quiz, analytical test for decision making. Hoping to see if there's a more advanced class than this.
The course was simple and easy to understand, especially for people with no actual business background. Perfectly suitable for people looking out to change professional domain.
Great course! There are some points in the residual analysis section where I needed more explanation. As for the rest, it was very useful.
I have gained tangible knowledge through this course. It is one of the best courses I have studied in Coursera Platform.
Excellent overview in a brief course to drive the need for data-support decision making in Supply Chain. Would love to see a more in depth course as well. Thank you!
It was my first experience with Coursera, and i liked it very much. The course provided by Rutgers university was easy to follow and make us to learn with the timeline itself .
Decent course for those who wanted to learn the competitive analysis between companies and industries across various countries.
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suggest to have in depth of each sub areas of supply chain and talk about the problems in those subareas
Request to suggest any readings and /or books related to supplu chain analytics
Suggesting to offer : Advanced Supply Chain Analytics"
It gave me basic know how of the Supply Chain but it do not provides the techniques and tools for analytics
Awful. Newsflash: Analytics are helpful for those who use it. If you are looking for a technical deep dive do not suscribe to this course, unless you want a pep talk.
It's a fascinating journey to learn about this course because it introduces an area of Supply chain analytics where supply chain management meets data analytics! By combing real life stories and examples on how analytics can apply to various domains of a supply chain to generate a significant social and economic impact (the amazon and Walmart case), I got a deep understanding about how analytics works in supply chain industry. I strongly recommend this course to all people who are interested in data analyze and supply chain.
Short, Crisp videos for conceptual understanding of the application and importance of Supply Chain Analytics in businesses. And some great case examples and problems to work upon!
This a very good course, recommend people with Supply Chain or Data background to take this. A huge boost for your career.
Was hoping for some analytical hints but the lecturer is for the most time just throwing figures at us. The quizzes don't make sense (just select all multiple choice answers), and the peer review test (especially the second and final one) requires all participants to sign up for a site. This means that most of the work submitted to the second peer review is not valid. I wanted to learn about supply chain analytics, and not be forced to do work to select a dream job at Apple in California.
I am Prof. Venkataiah Chittipaka, teaching in the area of Operations, quality , logistics, supply chain Management and Project Management. To update my knowledge in the area of supply chain analytics i have registered for this course. This is one of the best course I have gone through online in the area of supply chain analytics. Prof. Yao Zhao's lectures are well designed and well composed with supply chain analytics applications. I strongly recommend this course to the beginner's especially who wanted to have their career into supply chain analytics side.
Thank you very much Prof. Yao Zhao for your wonderful sessions. I have enjoyed all the sessions.
With Best Wishes,
Prof. Venkat
An inspiring course. This course introduces quantitative models and tools to efficiently manage operations that produce and distribute products and services, with applications in manufacturing, logistics and service industries. The only advice I may give is the assignment could be a bit more complicated than what the video teaches.
This is the best course that one can afford to learn it to know what is analytics and how it can be applied to the supply chain. Professor was soo good in explaining and every time when he states a real-life example you get in attached to the subject and this will excite you to focus.
Best course of Supply Chain for Beginners to understand the concept, use & implementation.
Quizzes were not up to the mark. And assignment was also not good. Could not learn much.
Because teacher cannot be reached to get correct comments to results interpretations or to open questions. Our grades depends on peers review of ourwork and many times, none rewie it or there are not enough work to be reviewed and certificate cannot be obtained or task cannot be completed. I faced a lot of tech issues from Coursera side. Not nice. Frustrating. Course content was great and exercise were fine too. Lack of ways on how to report issues and was is needed to report: plagiarism for example. I do not like Coursera.
It was very informatics, but you need to continue your studies to master the skill and take-up next courses. This has set the tone and now keep learning. Learning was simple, fun and very effective.
I would recommend to all those who are looking for Business Analytics jobs must start with this overview,
The course is very helpful. I got a lot from the 4-week course. I really enjoy the videos and the assignments. Also glad that the professor includes the job market of supply chain analytics in the course. It was very interesting.
Great introductory course. The best part is the assignments. You get to practice what professor Qi teaches. This course will definitely help me in my career. Thank you
The contents are very lucid and practical illustrations helps to comprehend in the real world context than learning supply chain analytics concepts theoretically.
Nice overview! This course strengthened my interest in Supply Chain Analytics and I will continue learning within this field!
This course is a good overview of supply chain domains and analytics with real-life examples.
Great course, very useful . The professor`s way of teaching this course is amazingly simple