Implementing Supply Chain Analytics
Master supply chain analytics using Python and SQL to optimize operations through descriptive, predictive, and prescriptive analysis.
Master supply chain analytics using Python and SQL to optimize operations through descriptive, predictive, and prescriptive analysis.
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.
4.7
(23 ratings)
2,257 already enrolled
Instructors:
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What you'll learn
Master Python and SQL for supply chain data analysis
Apply descriptive and diagnostic analytics to analyze historical data
Implement predictive analytics for forecasting and scenario planning
Use prescriptive analytics to optimize supply chain operations
Evaluate and implement different supply chain models
Skills you'll gain
This course includes:
3.75 Hours PreRecorded video
19 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course covers the implementation of analytical methods in supply chain management. Students learn to use Python and SQL for data analysis, apply four levels of analytics (descriptive, diagnostic, predictive, and prescriptive), and understand various supply chain models including inventory, continuous flow, and fast chain. The curriculum emphasizes practical applications of analytics tools to optimize supply chain operations and enhance decision-making processes.
Programming languages: Python and SQL
Module 1 · 3 Hours to complete
Data Analytics that Drive Impactful Decision Making
Module 2 · 5 Hours to complete
Supply Chain Models: Inventory, Continuous Flow, Fast Chain
Module 3 · 3 Hours to complete
Supply Chain Models: Efficient Chain, Agile, Custom-Configured, Flexible
Module 4 · 6 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.
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4.7 course rating
23 ratings
Frequently asked questions
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