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Rutgers University - Supply Chain Analytics Specialization 

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Supply Chain Analytics Specialization
 at 
Coursera 
Overview

Time to grow your career exponentially, gain expertise & get hands-on experience in Supply chain Management

Duration

2 years

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Supply Chain Analytics Specialization
Table of contents
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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
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Supply Chain Analytics Specialization
 at 
Coursera 
Course details

What are the course deliverables?

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

Read more
More about this course

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

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Supply Chain Analytics Specialization
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