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Inventory Analytics
Inventory analytics is the corner stone of supply chain analytics. A company in trade industries may have 30-50% of their assets tied up in inventory. An effective inventory management can improve revenue by increasing product variety and availability, and reduce cost and speed up cash cycle by reducing excessive inventory and waste.
Through real-life examples (e.g., Amazon vs. Macy’s), you will learn hands-on tools and skills to discover and solve inventory problems by data analytics. Upon completion, you can answer the following questions:
1. For which industries is inventory important?
2. How may inventory drive a company’s financial performance?
3. How do I know that I have an inventory problem?
4. How to classify inventory and manage it accordingly?
Note: This course is for beginners and thus focuses more on discovering inventory problems than solving them. It is my belief that discovering a problem and knowing which directions to go is at least equally important as solving the problem. We are planning to launch new courses or expand this course to cover more sophisticated inventory solutions in the future - thank you.
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 2.5 hours/week |
| Starts | Jun 26 (45 weeks ago) |
| Cost | $49 |
| From | Rutgers the State University of New Jersey via Coursera |
| Instructor | Yao Zhao |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Business |
| Tags | Data Science Data Analysis Business Business Essentials |
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 2.5 hours/week |
| Starts | Jun 26 (45 weeks ago) |
| Cost | $49 |
| From | Rutgers the State University of New Jersey via Coursera |
| Instructor | Yao Zhao |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Business |
| Tags | Data Science Data Analysis Business Business Essentials |
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