Rutgers the State University of New Jersey

Supply Chain Analytics Essentials

Labor Day starts with $70+ in savings on Coursera Plus. Save 40% for 3 months.

Rutgers the State University of New Jersey

Supply Chain Analytics Essentials

Yao Zhao

Instructor: Yao Zhao

68,436 already enrolled

Included with Coursera PlusLearn more

Ask Coursera

Gain insight into a topic and learn the fundamentals.

1,111 reviews

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
94%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.

1,111 reviews

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
94%
Most learners liked this course

What you'll learn

  • Understand the supply chain challenges and why data analytics is critical in handling them.

  • Critical thinking and data analytics skills to quantify the financial impact of supply chains and measure their overall efficiency.

  • Understand the pain points of various supply chain domains (source, make, move and sell) and how analytics may relieve them.

  • Supply chain job opportunities, salary statistics, and the requirements.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments¹

AI Graded see disclaimer
Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Supply Chain Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Welcome to supply chain analytics – a fascinating and fast-growing field! In this week, I will give you an introduction to supply chain analytics, share my journey, illustrate the supply chain butterfly effect, and preview the job market and the course.

What's included

5 videos3 readings1 discussion prompt

Through real-world examples, you'll learn how supply chain management (SCM), powered by data analytics, can create a lasting competitive advantage. You'll understand why analytics is critical to effective SCM, and learn how to measure supply chain efficiency. By the end, you'll be able to identify the core domains of a supply chain.

What's included

7 videos3 readings3 assignments

Through real-life examples, you will learn how analytics can be applied to various domains of a supply chain to relieve the pain points and generate economic value.

What's included

11 videos4 assignments

In this final week, you will learn supply chain job opportunities, requirements and preparation. You will learn how to make strategic decisions on jobs by region, industry and company through the dream job analysis. You will practice the knowledge and skills learned in this course by a mini-project.

What's included

12 videos3 readings1 assignment1 peer review

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings
(330 ratings)
Yao Zhao
6 Courses117,705 learners

Explore more from Business Essentials

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

  • 5 stars

    72.54%

  • 4 stars

    17.73%

  • 3 stars

    5.04%

  • 2 stars

    2.43%

  • 1 star

    2.25%

Showing 3 of 1111

LM

Reviewed on Jun 9, 2022

SS

Reviewed on Jul 11, 2020

A

Reviewed on Jan 31, 2024

Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.