Supply Chain Management: Definition, Jobs, Salary, and More
November 14, 2024
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Launch Your Career in Supply Chain Analytics. Master Data-Driven Tools to Improve Supply Chain Performance
Instructor: Yao Zhao
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(1,153 reviews)
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Beginner level
Basic business acumen and some experience of supply chains or operations can be helpful.
(1,153 reviews)
Recommended experience
Beginner level
Basic business acumen and some experience of supply chains or operations can be helpful.
Understand the pain points of a supply chain and how analytics may relieve them.
See supply chain + analytics job opportunities and requirement, and make data-driven career decisions.
Discover and prioritize problems for enterprises in a competitive environment.
Plan for demand and supply, and design effective logistics strategies for large-scale distribution systems.
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This Specialization is intended for people seeking to integrate supply chain management with data analytics. Through six courses, you will discover and solve problems in various domains of a supply chain, from source, make, move to sell. Upon completion, you will learn concrete data analytics skills and tools to improve supply chain performance.
Supply Chain Analytics Essentials: Supply chain pain points and how analytics may relieve them, job opportunities and intelligence.
Business intelligence and Competitive Analysis: Use data analytics to assess the competitive environment and discover business problems and opportunities.
Demand Analytics: Data analytics for demand forecasting and planning.
Inventory Analytics: Discover and solve inventory problems - an essential part of Sales & Operations Planning.
Sourcing Analytics: Use market intelligence, bargain power analysis, and supplier analysis to identify and select new suppliers.
Supply Chain Analytics: Use analytics to design logistics strategies for a large-scale distribution system.
Applied Learning Project
Learners will build real-life data-driven projects on job opportunity analysis, business intelligence and competitive analysis, demand forecasting and planning, distribution and logistics, inventory management and sourcing intelligence using various diagnostic, predictive and prescriptive analytics skills and tools.
Understand why analytics is critical to today’s supply chains and its financial / economic impact.
See the pain points of a supply chain and how analytics may relieve them.
Learn supply chain analytics job opportunities, requirement and preparation.
Use data analytics to find the dream job(s) by region, industry and company.
Industry analysis: industry trend, risk, and competition intensity, value chain analysis.
Competition positioning: where does the company stand in the competitive landscape? Abnormalities and alarms.
Enterprise diagnosis: strengths and weaknesses, performance drivers and levers, breakdown analysis to identify the problems and causes.
Use data analytics to predict demand with trend (as in new product introduction), seasonality, price elasticity and other environmental factors.
Identify the key drivers for demand and quantify their impact.
Build, validate and improve forecasting models with both continuous and categorical variables.
For which industries is inventory important?
How may inventory drive a company’s financial performance?
How do I know that I have an inventory problem?
How to classify and manage inventory?
Use data analytics to assess the impact of various strategies on all aspects of a supply chain.
One size does not fit all - customize supply chain strategies by product.
Conduct a competitive analysis and benchmarking to assess competitive environment and identify business opportunities.
Obtain hands-on experience on the application and financial impact of analytics in integrated supply chain and logistics planning.
Sourcing intelligence to identify and select suppliers globally for critical components.
Sourcing analytics on comparing and benchmarking suppliers on pricing, risks and supplying capabilities.
Bargain power analysis to support better negotiation and bargaining with suppliers.
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The Specialization consists of five courses, each takes about 4 weeks.
A passion and curiosity for improving supply chain performance by data analytics is desirable. Some knowledge on general business concepts and supply chain management is helpful.
It will be ideal to start with Supply Chain Analytics Essentials and end with Supply Chain Analytics. The order of the other courses is up to the learner's choice.
No. But completing the Specialization can be considered as a big plus in admission to the Rutgers Master of Supply Chain Analytics program.
Discover and solve supply chain problems by data analytics; see job opportunities and make data-drive career decisions.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (2/1/2024 - 2/1/2025)