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Supply Chain Analytics Essentials
Coursera MOOC / Non-credit 0

Supply Chain Analytics Essentials

About this course

Welcome to Supply Chain Analytics — your entry point into a fascinating and fast-growing field. This course lays the foundation and maps out your path through the full Supply Chain Analytics specialization. You'll build critical thinking and problem-framing and solving skills in supply chain management through real-life examples, learn to quantify the financial impact of supply chains and measure their efficiency. You'll see how data analytics — paired with visual storytelling — can illuminate pain points across every domain of a supply chain, and how to work with AI as a powerful analytical partner. Along the way, you'll also learn about the opportunities, salary statistics, and latest skill requirements shaping today's supply chain job market. Upon completing this course, you will be able to: 1. Understand supply chain challenges and why data analytics, including data-driven problem framing and solving, are critical to addressing them. 2. Quantify the financial impact of supply chains, especially how small operational shocks can cascade into big financial consequences. 3. Measure overall supply chain efficiency using the cash conversion cycle. 4. Apply critical thinking and visual storytelling to diagnose pain points across supply chain domains (source, make, move, and sell) and prescribe analytics to relieve them. 5. Understand supply chain job opportunities, salary statistics, and the latest market requirements. This course is for you if: 1. You're exploring a career in data analytics and supply chain management. 2. You work in supply chain or operations and want to upskill your data analytics capabilities. 3. You want to apply data analytics and critical thinking skills to define and solve problems in supply chain operations. I hope you enjoy the course!

A

89/100

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What the provider tells you
38/45
Who stands behind it
35/35
How complete the listing is
16/20

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What you'll learn

  • Understand supply chain challenges and the role of data analytics in addressing them.
  • Quantify the financial impact of supply chains.
  • Measure overall supply chain efficiency using the cash conversion cycle.
  • Identify pain points in various supply chain domains and how analytics can help.
  • Learn about supply chain job opportunities, salary statistics, and current industry requirements.
Data Analysis Operations Management #data analytics #problem solving #supply chain management #operations #career opportunities #financial impact #supply chain efficiency #cash conversion cycle #salary trends #analytics in business
$49.00

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