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Coursera - Supply Chain Analytics Specialization

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17 Oct 2025
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Free Download Coursera - Supply Chain Analytics Specialization
Last updated 10/2025
By Yao Zhao - Rutgers – the State University of New Jersey
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 124 Lessons ( 10h ) | Size: 1.6 GB
Launch Your Career in Supply Chain Analytics. Master Data-Driven Tools to Improve Supply Chain Performance


What you'll learn
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.
Skills you'll gain
Competitive Intelligence
Strategic Decision-Making
Regression Analysis
Data Collection
Inventory Control
Data Analysis
Supplier Performance Management
Supplier Management
Supply Chain
Demand Planning
Inventory Accounting
Customer Demand Planning
Procurement
Business Intelligence
Business Analytics
Strategic Sourcing
Supply Management
Supply Chain Management
Data Storytelling
Competitive Analysis
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.
Homepage
https://www.coursera.org/specializations/supply-chain-analytics


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