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Rutgers University

Supply Chain Analytics Essentials

Rutgers University via Coursera

Overview

Welcome to Supply Chain Analytics - an exciting area that is in high demand! In this introductory course to Supply Chain Analytics, I will take you on a journey to this fascinating area that applies data analytics to diagnose and solve problems in supply chain management. You will learn real life examples on how data analytics can generate a significant financial and economic impact in various domains of a supply chain, from selling, to logistics, production and sourcing. You will learn job market outlook, requirement and preparation. Lastly, you will see the power of data analytics by using it to identify your dream jobs. Upon completing this course, you will 1. See the pain points of a supply chain and how data analytics may relieve them. 2. Understand why analytics is critical to supply chain management and how supply chain analytics may create a long-term competitive advantage. 3. See the impact of supply chain analytics on companies' financials and stock market performance. 4. Learn supply chain analytics job opportunities and preparation, and find your dream jobs using data analytics. This course is for you, if, 1. you are starting your career in supply chain management, either sourcing / procurement, or production / operations planning, or distribution / logistics; 2. you are already familiar with the basic supply chain management concepts and hope to upskill with data analytics; 3. you already learned the data analytics skills and hope to make a financial and economic impact in the supply chain field. I hope you enjoy the course!

Syllabus

  • Welcome!
    • Welcome to supply chain analytics (SCA) – an emerging and exciting area in high demand! In this week, I will give you an introduction to SCA, share my journey, and preview the talent crisis.
  • Supply Chain Analytics Impact
    • By real-life examples, you will learn how supply chain management (SCM), aided by analytics, may create a long-term competitive advantage. You will see why analytics is critical to SCM. Finally, you will identify the main domains of a supply chain.
  • Supply Chain Pain Points and How Analytics May Relieve Them
    • Through real-life examples, you will learn how analytics can be applied to various domains of a supply chain to generate economic value.
  • Dream Job Analysis
    • In this final week, you will learn supply chain analytics job opportunities, and the power of data analytics by using it to find your dream jobs and make career choices.

Taught by

Yao Zhao

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4.6 rating at Coursera based on 976 ratings

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