In the Using Data Analytics in Supply Chain course, you’ll explore the importance of data governance, and learn the fundamental concepts surrounding data. You’ll also learn the tools and processes employed in supply chain analytics, enabling you to gather, analyze, synthesize, validate, and interpret data-driven insights. This ensures that products are efficiently delivered to their destination in a timely and cost-effective manner. By the end of this course, you’ll be able to: Explain the importance of data governance and adhere to data governance policies. Define data analysis objectives, formulate questions, pinpoint data sources, and implement effective data gathering techniques. Conduct data analysis by applying calculations, summarizations, averages, and classification of information to answer the identified data analysis objectives and questions. Identify how to use SQL, Python, or spreadsheets to clean, manage, consolidate, analyze, and visualize data. Differentiate between various scenarios and construct simulations to evaluate outcomes. Use data visualization to present insights effectively to decision-makers.
I have learned each and every part of the data analytics with best examples Thanks to Coursera Team for providing detail explanation.
Great course, really opens up a whole new world, and for me as being new in supply chain the content was really informative and building. Great work instructors and Unilever.
Very helpful. I gain a lot of new knowledges. Thank you Coursera to give me a chance to study.
few sessions on the analytic part with excel and python
Very insightful and well presented. I've learnt a lot
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Peer-graded assignments never get reviewed. You are basically stuck at the end of each course, at the mercy of a lucky grading of your assignment in a couple of days. There are people stuck in the middle of the course for weeks. This is nonsense and a waste of money and especially and most importantly TIME.
the peer-grading system is abused by plagiarism. i found myself reviewing my work that others submitted as their own.
Great course, really opens up a whole new world, and for me as being new in supply chain the content was really informative and building. Great work instructors and Unilever.
Using Data Analytics in Supply Chain” is hands-down one of the best courses I’ve taken on Coursera. It perfectly bridges theory and real-world application: from EOQ and safety stock calculations to cutting-edge topics like demand sensing, prescriptive analytics, and AI in supply chain. The Excel-based projects (especially the Prosacco inventory plan) forced me to actually calculate everything myself — no fluff, just pure skill-building. By the end, I could confidently read a real logistics dataset, spot problems, and propose data-driven solutions. The videos are short, clear, and packed with examples from companies like Nike, Apple, and Zipline. If you want to become a job-ready supply chain analyst (or level-up fast in your current role), this course is gold. Highly recommended!
Understanding data in today's digital age is like understanding the fuel for a business engine. Without a fundamental understanding and proper management, data becomes nothing more than a confusing jumble of numbers, not a valuable asset
Thank you Unilever for this kind of self-paced training. I am able to view reply to things that quiet unclear to me. And it really add up to my self-development and could be a big help to my upcoming career.
I have learned each and every part of the data analytics with best examples Thanks to Coursera Team for providing detail explanation.
Very helpful. I gain a lot of new knowledges. Thank you Coursera to give me a chance to study.
Very insightful and well presented. I've learnt a lot
A very good course I learnt alot
Great and very usefull
interesting
The Best
nice
few sessions on the analytic part with excel and python
Kenapa saya tidak bisa claim sertifikat
sertifnya gabisa diklaim
The course content could use a revise in order. There were assignments with programs and tasks that had not yet been taught, only for it to be taught the next module. It became very frustrating, but the content was good
"Peer assessments can sometimes be subjective."
responses on grading is not fair and very delayed - poor management