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Unilever

Using Data Analytics in Supply Chain

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.

Status: Spreadsheet Software
Status: Supply Chain
BeginnerCourse35 hours

Featured reviews

BM

5.0Reviewed Jul 22, 2024

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.

IC

5.0Reviewed Oct 4, 2024

Very insightful and well presented. I've learnt a lot

EP

5.0Reviewed May 5, 2025

I have learned each and every part of the data analytics with best examples Thanks to Coursera Team for providing detail explanation.

TT

4.0Reviewed Apr 22, 2024

few sessions on the analytic part with excel and python

HL

5.0Reviewed Sep 29, 2025

Very helpful. I gain a lot of new knowledges. Thank you Coursera to give me a chance to study.

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