Back to Using Data Analytics in Supply Chain
Learner Reviews & Feedback for Using Data Analytics in Supply Chain by Unilever
12 ratings
About the Course
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.
Filter by:
1 - 2 of 2 Reviews for Using Data Analytics in Supply Chain
By TAMIRIRAISHE
•Apr 23, 2024
few sessions on the analytic part with excel and python
By 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.