Mastering Digital Twins (Coursera)

Offered by EIT Digital,
Mastering Digital Twins (Coursera)

In this course we will learn about Digital twins fundamentals, how they represent a concept of integration for product related data. The concept of Digital twins is a response to the increasing digitization of product development, production and products themselves.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Today, products are complex systems that not only fulfill their intended functions and quality, but also communicate via communication networks with other components, products, clouds and services as well. We are talking about smart products that integrate services into the products and are continuously supported.

What You Will Learn

  • Understand the fundamentals of Digital twins concept.
  • Know the three levels of the digital twin: the master, the shadow and the twin.
  • Know the benefits of using Digital twins in different use cases.

Syllabus

WEEK 1: Mastering Digital Twins

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Security for Artificial Intelligence Software and Services (Coursera) Coursera
Board Infinity

Security for Artificial Intelligence Software and Services (Coursera)

The "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards.

Jun 8th 2026
2 Weeks
Everyday Excel, Part 3 (Projects) (Coursera) Coursera
University of Colorado Boulder

Everyday Excel, Part 3 (Projects) (Coursera)

"Everyday Excel, Part 3 (Projects)" is a continuation of "Everyday Excel, [Parts 1](https://www.mooc-list.com/course/everyday-excel-part-1-coursera) and [Parts 2](https://www.mooc-list.com/course/everyday-excel-part-2-coursera)". It is a capstone, projects-based course in which you will apply what you've learned previously to more complex, somewhat open-ended projects (open-ended with respect to the fact that they can be solved in multiple ways). Each learner must complete two easy projects (chosen from four), two intermediate projects (chosen from 4), and three main (more difficult) projects (chosen from 7).

Jun 1st 2026
5-12 Weeks
Analytics, Law, and Athlete Representation (Coursera) Coursera
The State University of New York

Analytics, Law, and Athlete Representation (Coursera)

In this course, we will discuss the interplay of law, data analysis, and athlete representation using the athlete's career path trajectory as the focus. The intent is to introduce data analytical tools, laws, & regulations applicable to athlete representation throughout various stages of an athlete’s career. The primary focus is on athlete development and representation within the regulatory frameworks of federal and state laws and other pertinent rulemaking authorities, including pro sports unions.

Jun 8th 2026
5-12 Weeks
Introduction to Data Engineering (Coursera) Coursera
IBM

Introduction to Data Engineering (Coursera)

This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. The Data Engineering Ecosystem includes several different components. It includes disparate data types, formats, and sources of data.

Jun 8th 2026
4 Weeks
Data Ecosystem (Coursera) Coursera
Tableau Learning Partner

Data Ecosystem (Coursera)

The Data Ecosystem course will give you a foundational understanding of the entire data ecosystem, including data management. Specifically, this course shows how a business intelligence analyst would organize, access, and use data. You will learn about a variety of data sources along with the use and purpose of each type. Additionally, you’ll learn about the importance of data quality and data governance in relation to effective data management.

Jun 8th 2026
3 Weeks
GIS Data Formats, Design and Quality (Coursera) Coursera
University of California, Davis

GIS Data Formats, Design and Quality (Coursera)

In this course, the second in the Geographic Information Systems (GIS) Specialization. What you will learn: design data tables and use separating and joining data in a relational database; write query strings to subset data; create and work with raster data; create web maps.

Jun 8th 2026
4 Weeks
Perspectives in Digital Transformation: Manufacturing (Coursera) Coursera
Inter-American Development Bank - IDB

Perspectives in Digital Transformation: Manufacturing (Coursera)

Are you interested in learning how Digital Transformation is driving the manufacturing sector in Latin America and the Caribbean? This course will help you identify challenges and opportunities that digitalization can offer in the industry. Along with specialists from BID Invest and the private sector, you will learn firsthand about the tools and best practices that illustrate the potential of digital solutions, with a cross-cutting focus on sustainability.

Jun 8th 2026
4 Weeks
3D Printing Capstone Coursera
University of Illinois at Urbana-Champaign

3D Printing Capstone

The capstone will integrate the learning acquired from the four courses in the 3D Printing Specialization through a hands-on project. This project will enable you to turn an idea into an object using the knowledge and skills acquired through the other courses. Specifically, you will be guided through a step-by-step process in which you imagine, design, make, and share a 3D printed object. Thus, through this capstone, you will be able to put course concepts into action and utilize the skills that you have acquired throughout the Specialization.

Jun 8th 2026
4 Weeks
Everyday Excel, Part 2 (Coursera) Coursera
University of Colorado Boulder

Everyday Excel, Part 2 (Coursera)

"Everyday Excel, Part 2" is a continuation of the popular "Everyday Excel, [Parts 1](https://www.mooc-list.com/course/everyday-excel-part-1-coursera)". Building on concepts learned in the first course, you will continue to expand your knowledge of applications in Excel. This course is aimed at intermediate users, but even advanced users will pick up new skills and tools in Excel. By the end of this course, you will have the skills and tools to take on the project-based "Everyday Excel, Part 3 (Projects)".

Jun 8th 2026
5-12 Weeks
Evaluation of Digital Health Interventions (Coursera) Coursera
Imperial College London

Evaluation of Digital Health Interventions (Coursera)

This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. The key focus is on experimental and quasi-experimental design approaches that can be applied to evaluating digital health interventions and key considerations for the economic evaluation of digital health interventions.

Jun 8th 2026
4 Weeks