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.
Using Data Analytics in Supply Chain
Using Data Analytics in Supply Chain
This course is part of Unilever Supply Chain Data Analyst Professional Certificate
Taught in English
Instructor: Unilever Team
Included with 
Course
Gain insight into a topic and learn the fundamentals
4.1
(11 reviews)
Beginner level
Recommended experience
34 hours (approximately)
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
February 2024
Assessments
23 assignments
Course
Gain insight into a topic and learn the fundamentals
4.1
(11 reviews)
Beginner level
Recommended experience
34 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
This course is part of the Unilever Supply Chain Data Analyst Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Unilever
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 5 modules in this course
In this module, you will focus on the importance of analyzing quality data and how to adhere to data governance policies. You'll be introduced to the data analysis process and the tools used to analyze data. Identify the importance of data quality. Identify the types of data. Explain the importance of data governance and adhere to data governance policies.
What's included
17 videos6 readings4 assignments
In this module, you will focus on how to write the objectives of your analysis, identify the questions you should be answering with the data, determine where to obtain your data, and how to clean and prepare the data obtained.
What's included
12 videos8 readings6 assignments
In this module, you will focusing on finding the answers to the identified analysis questions, identifying if errors are present in our analys and making and needed adjustments, intepreting the results and explaining what it means in your own words, and reporting your findings.
What's included
13 videos5 readings6 assignments1 discussion prompt
In this module, you will learn how to use data visualization tools and storytelling to describe the data to decision makers in a clear, concise and comprehensive manner.
What's included
11 videos4 readings5 assignments
This module focuses on how to create a meaningful presentation for your audience and provides you with the skills to present your findings with confidence.
What's included
6 videos5 readings2 assignments1 peer review
Instructor
Offered by
Recommended if you're interested in Data Analysis
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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