Chevron Left
返回到 Using Data Analytics in Supply Chain

学生对 Unilever 提供的 Using Data Analytics in Supply Chain 的评价和反馈

4.4
76 个评分

课程概述

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....

热门审阅

BM

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.

TT

Apr 22, 2024

few sessions on the analytic part with excel and python

筛选依据:

1 - Using Data Analytics in Supply Chain 的 17 个评论(共 17 个)

创建者 Siddhartha P

May 31, 2024

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.

创建者 Shane S

Apr 9, 2024

the peer-grading system is abused by plagiarism. i found myself reviewing my work that others submitted as their own.

创建者 Boitshoko M

Jul 23, 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.

创建者 Jr B

Mar 25, 2025

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.

创建者 Ettamsetti P

May 6, 2025

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

创建者 Hai T L

Sep 30, 2025

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

创建者 ISAAC T C

Oct 5, 2024

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

创建者 Hansini P

Jul 1, 2025

A very good course I learnt alot

创建者 Shrikanth M

May 19, 2024

interesting

创建者 M. R A F

Jan 30, 2025

The Best

创建者 HANIV S

Jan 2, 2025

nice

创建者 TAMIRIRAISHE

Apr 23, 2024

few sessions on the analytic part with excel and python

创建者 Nadia A

Jul 6, 2025

Kenapa saya tidak bisa claim sertifikat

创建者 Nicole T

Aug 7, 2024

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

创建者 Nanda S P

Jun 12, 2025

"Peer assessments can sometimes be subjective."

创建者 Muhammad Z S

Dec 12, 2024

responses on grading is not fair and very delayed - poor management

创建者 Sabil D

Sep 15, 2025

please assignment check to fast