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Rutgers University - Supply Chain Analytics Specialization
- Offered byCoursera
Supply Chain Analytics Specialization at Coursera Overview
Duration | 2 years |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website |
Credential | Certificate |
Supply Chain Analytics Specialization at Coursera Highlights
- Earn a certificate after completion of the course
- Financial aid available
- Projects and assignments for real world scenarios
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 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
Fee varies according to duration in months:
Fee for 1 month is 4451/-
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
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? Abnormalities and alarms
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
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
Sourcing Analytics
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