Level Up - Supply Chain Analytics MOOC

Created by Galina MISHEVA

Updated 16 January 2025

This training aims to provide participants with the skills and knowledge needed to analyse and optimise supply chain processes through data-driven insights. The primary objectives of this MOOC, designed by Workearly, are to introduce learners to essential analytics techniques and tools used in supply chain management, covering areas such as demand forecasting, inventory management, risk analysis, and process optimisation. Through hands-on exercises, participants will learn how to collect, prepare, and analyse supply chain data to make informed decisions that improve efficiency and reduce costs.

About this course

Target Audience

This course is ideal for recent graduates, job seekers, and anyone interested in using analytics to enhance supply chain operations. It is particularly beneficial for those in roles related to logistics, procurement, inventory management, and operations. No prior experience with analytics is required, making it suitable for beginners.

Participants will engage in practical assessments that apply analytics concepts to real-world supply chain scenarios, including demand forecasting and risk management.

Enrolment and assessment

Enrolment for the MOOC opens in February 2025, and the course is free to access. With flexible submission deadlines, learners can progress at their own pace. A certificate of completion will be awarded to those who meet the course requirements.

Learning outcomes

By the end of this training, participants will be able to:

Understand the role of analytics in supply chain management and its impact on business performance.
Collect, clean, and prepare supply chain data for analysis.
Apply descriptive analytics to identify trends and patterns in supply chain data.
Utilize optimization techniques to improve various supply chain processes.
Conduct risk analysis and scenario planning to enhance decision-making.

Upon completing this course, participants will have a practical skill set in supply chain analytics, enabling them to make data-driven decisions that increase efficiency, reduce costs, and improve overall supply chain performance.