Using Data Analytics in Supply Chain
Master supply chain data analytics fundamentals, from data governance to visualization. Learn to analyze and present insights for effective decision-making.
Master supply chain data analytics fundamentals, from data governance to visualization. Learn to analyze and present insights for effective decision-making.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Unilever Supply Chain Data Analyst Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.3
(31 ratings)
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Instructors:
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What you'll learn
Define data analysis objectives and identify appropriate data sources
Apply data cleaning and preparation techniques
Conduct comprehensive data analysis using various tools
Create effective data visualizations for decision-making
Develop professional presentation skills
Implement data governance best practices
Skills you'll gain
This course includes:
5.3 Hours PreRecorded video
23 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course focuses on applying data analytics in supply chain management. Students learn essential concepts of data governance and fundamental data analysis techniques. The curriculum covers the complete analytics process, from defining objectives and gathering data to analysis, validation, and visualization. Participants develop skills in using various tools including spreadsheets, SQL, and Python for data management and analysis, while also learning effective data visualization and presentation techniques for decision-makers.
Data basics and why data governance matters
Module 1 · 4 Hours to complete
Define and prepare the data
Module 2 · 4 Hours to complete
Analyze, validate, and interpret the data
Module 3 · 5 Hours to complete
Data visualization
Module 4 · 12 Hours to complete
Present the data to your audience
Module 5 · 8 Hours to complete
Fee Structure
Instructor
Accomplished Clinical Instructor in Traditional Chinese Medicine
Mr. Yung Tat To is a registered Chinese Medicine Practitioner and a part-time instructor at The Chinese University of Hong Kong's Institute of Integrative Medicine. With years of experience in the field, he has dedicated himself to teaching various Traditional Chinese Medicine (TCM) bachelor courses, focusing on essential subjects such as the Fundamental Theories of TCM, Clinical Chinese Materia Medica, and Chinese Medicinal Formulae. In addition to his educational contributions, Mr. Yung is actively engaged in clinical research, participating in trials that explore acupuncture treatments for gallstone disease and internal medicine approaches for irritable bowel syndrome (IBS). His dual commitment to teaching and research not only enhances the academic environment but also advances the practice and understanding of Chinese medicine, making him a valuable asset to both students and the broader medical community.
Testimonials
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4.3 course rating
31 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.