Rutgers University - Supply Chain Analytics Specialization
4.0 /5- Offered byCoursera
- Public/Government Institute
Supply Chain Analytics Specialization at Coursera Overview
Duration | 2 months |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Admission Process
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Supply Chain Analytics Specialization at Coursera Highlights
- Earn a certificate after completion of course
- Flexible schedule learn at your own pace
Supply Chain Analytics Specialization at Coursera Course details
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
This Specialization is intended for people seeking to integrate supply chain management with data analytics
Through five courses, you will discover and solve problems in various domains of a supply chain, from source, make, move to sell
Upon completion ,students 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 identify business problems and opportunities
Supply Chain Analytics Specialization at Coursera Curriculum
Supply Chain Analytics Essentials
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
Business Intelligence and Competitive Analysis
Industry analysis: industry trend, risk, and competition intensity, value chain analysis
Competition positioning: where does the company stand in the competitive landscape
Enterprise diagnosis: strengths and weaknesses, performance drivers and levers, breakdown analysis to identify the problems and causes
Demand Analytics
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
Inventory Analytics
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
Supply Chain Analytics Specialization at Coursera Admission Process
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