Web of Data from Coursera

This MOOC – a joint initiative between EIT Digital, Université de Nice Sophia-Antipolis / Université Côte d'Azur, and INRIA - introduces the Linked Data standards and principles that provide the foundation of the Semantic web. You will learn how to publish, obtain and use structured data directly from the Web. Learning the principles, languages, and standards to exchange data on the Web will enable you to design and produce new applications, products, and services that leverage the volume and variety of data the Web holds.

We divided this course into four parts that cover the core technical skills and competencies you need to master to be able to use the Web as a space for giant structure data exchange:

• in the first part, “Principals of a Web of Linked Data”: you will learn and practice the principles to publish and obtain data directly on the Web instead of Web pages;

• in the second part, “The RDF Data Model”: you will learn the standard data model for the Web and its syntaxes to publish and link data on the Web in your applications and services;

• in the third part, “SPARQL Query Language”: you will learn how to directly query and access data sources on the Web and obtain structured data relevant to your activity and domain;

• in the fourth and final part, “Integration of other Data Formats and Sources”: you will learn how the Web standards interact and interoperate with other data formats to allow the integration of a variety of data sources.

Each week alternates short videos and quizzes, as well as supplementary resources and forums to gradually progress through the different principles and standards.

After following this course successfully, you will have the skills to obtain focused and structured datasets from the Web that you can then use to augment your own datasets, enrich their dimensions, feed your applications, perform data mining, machine learning, and training, data analysis, AI processing and reasoning and other data management.

What's inside

Syllabus

PRINCIPLES OF A WEB OF LINKED DATA

This first week is dedicated to introducing the notion of a Web of Linked Data. Dr. Fabien Gandon will start with some background and general knowledge about the Web, its history and its architecture.

The RDF data model

This second week is dedicated to the Resource Description Framework (RDF), the standard data model to publish and link data on the Web.

SPARQL Query Language

This third week presents the SPARQL Query Language that enables users to perform information retrieval by querying RDF datasets on the Web of Data.

Integration of other data formats and sources

This last week offers an open conclusion of the MOOC by addressing several initiatives to integrate more and more data on the Web.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines the Semantic Web, which is standard in big data management

Taught by Catherine Faron Zucker, Fabien Gandon, and Olivier Corby, who are recognized for their work in Linked Data

Develops knowledge of publishing, obtaining, and using structured data directly from the Web

Introduces Linked Data standards and principles, which are foundational to the Semantic Web

Offers a hands-on approach through interactive quizzes and forums

Reviews summary

Engaging web of data overview

According to students, this course is a well-received introduction to the foundations of the Web of Data. They say it provides a comprehensive overview of the subject, with engaging content. While a handful of students found the course difficult, most agree that it's a valuable learning experience.

Interactive quizzes reinforce course material.

"The quizzes could be solved based on the material provided."

"compliment to EIT-Digital, just one side-aspect remains open : was it complying to the code of conduct to try the quizzes several times with the given right answers, so-to-call utilize all possibilities of the local machine and the course-given techniques ?"

Provides a thorough foundation in Web of Data principles.

"Really good for understanding basic concepts of semantic web"

"A comprehensive overview and hands-on practices allowing to apply these skills into practice."

"It is informative but It need to updated with new upcoming tools in semantic web or web of data."

Some students reported technical issues with quizzes and broken links.

"Several of the quizzes relied on web applications that were broken."

"Some of the links are outdated, but they are necessary in weekly assignments."

May be challenging for those new to Web of Data concepts.

"I think it is hard for beginners to be introduced to so many different tools and languages"

"It was hard to follow and understand; one of the instructors had very strong foreign accent"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Web of Data with these activities:

Learn the Basics of Linked Data Standards

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Get a foundational understanding of the building blocks of Linked Data to strengthen your comprehension of the material covered in this course.

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Read Introduction to Linked Data Standards
Watch videos and complete quizzes on Linked Data concepts

Practice RDF Syntax Generation

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Improve familiarity with RDF syntax by practicing data modeling.

Browse courses on Data Modeling

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Review the syntax of RDF triples.
Create RDF triples to represent real-world entities.
Convert data from other formats into RDF.

Tutorial: Building a SPARQL Query

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Practice constructing SPARQL queries to retrieve data from the Web of Linked Data.

Browse courses on Data Querying

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Review basic concepts of the SPARQL query language.
Follow along with the tutorial, applying the concepts to build a query.
Test the query using the SPARQL endpoint provided.
Modify the query to retrieve different data.

Two other activities

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SPARQL Query Practice

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Reinforce SPARQL query skills by solving practice problems.

Browse courses on Data Querying

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Review the syntax and operators of the SPARQL query language.
Write SPARQL queries to retrieve data from the Linked Data cloud.
Test and debug queries to ensure they return the desired results.
Practice using SPARQL to join data from different sources.
Apply SPARQL in a real-world data analysis scenario.

Build a Linked Data Application

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Develop a practical understanding of Linked Data by creating an application that leverages its principles.

Browse courses on Web Development

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Identify a use case or problem that can be addressed with Linked Data.
Design the application architecture and data model.
Integrate Linked Data into the application and implement data retrieval and processing.
Develop the user interface and functionality.
Test and deploy the application.
Publish the application and make it available to users.

Career center

Learners who complete Web of Data will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are professionals who use their knowledge of data analysis and machine learning to extract insights from data. The demand for Data Scientists surged 47.8% from 2021 to 2022, and the U.S. Bureau of Labor Statistics forecasts an 11% increase from 2020 to 2030. The Web of Data can be a powerful tool for Data Scientists, allowing them to access and analyze data from a variety of sources. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts play a vital role in organizations by collecting, interpreting, and presenting data. With a median salary of $65,100, the demand for Data Analysts is expected to grow 25% from 2020 to 2030. The Web of Data is a valuable resource for Data Analysts, as it provides access to a vast amount of structured data. The skills and knowledge you gain from this course can help you become a more effective Data Analyst.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They are in high demand, with the U.S. Bureau of Labor Statistics predicting an 25% growth from 2020 to 2030. The Web of Data is becoming increasingly important for Software Engineers, as it provides a way to integrate data from different sources into software applications. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Software Engineer.

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Semantic Web Developer

Semantic Web Developers design and develop applications that use the Semantic Web. They are in high demand, as the Semantic Web is becoming increasingly important for a variety of industries. This course can help you build a foundation in the Web of Data, which is essential for a career as a Semantic Web Developer.

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Database Administrator

Database Administrators are responsible for managing and maintaining databases. They are in high demand, with the U.S. Bureau of Labor Statistics predicting an 11% growth from 2020 to 2030. The Web of Data is a valuable resource for Database Administrators, as it provides a way to integrate data from different sources into a single database. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Database Administrator.

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Librarian

Librarians help people find and access information. They are in high demand, with the U.S. Bureau of Labor Statistics predicting an 9% growth from 2020 to 2030. The Web of Data is a valuable resource for Librarians, as it provides access to a vast amount of information from a variety of sources. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Librarian.

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Research Scientist

Research Scientists conduct research in a variety of fields. They are in high demand, as research is essential for the advancement of knowledge. The Web of Data is a valuable resource for Research Scientists, as it provides access to a vast amount of data from a variety of sources. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Research Scientist.

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Information Architect

Information Architects design and organize information systems. They are in high demand, with the U.S. Bureau of Labor Statistics predicting an 13% growth from 2020 to 2030. The Web of Data is a valuable resource for Information Architects, as it provides a way to integrate data from different sources into a single information system. This course can help you build a foundation in the Web of Data, which can be helpful for a career as an Information Architect.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. They are in high demand, with the U.S. Bureau of Labor Statistics predicting an 12% growth from 2020 to 2030. The Web of Data is a valuable resource for Data Engineers, as it provides a way to integrate data from different sources into a single data pipeline. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Data Engineer.

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Systems Analyst

Systems Analysts design and implement computer systems. They are in high demand, as computer systems are essential for the functioning of businesses and organizations. The Web of Data is a valuable resource for Systems Analysts, as it provides a way to integrate data from different sources into a single computer system. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Systems Analyst.

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Data Architect

Data Architects design and manage data architectures. They are in high demand, as data architectures are essential for the efficient and effective use of data. The Web of Data is a valuable resource for Data Architects, as it provides a way to integrate data from different sources into a single data architecture. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Data Architect.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access. They are in high demand, with the U.S. Bureau of Labor Statistics predicting an 33% growth from 2020 to 2030. The Web of Data is a valuable resource for Information Security Analysts, as it provides a way to identify and track security vulnerabilities. This course can help you build a foundation in the Web of Data, which can be helpful for a career as an Information Security Analyst.

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Knowledge Engineer

Knowledge Engineers design and build knowledge-based systems. They are in high demand, as knowledge-based systems are becoming increasingly important for a variety of industries. The Web of Data is a valuable resource for Knowledge Engineers, as it provides access to a vast amount of knowledge from a variety of sources. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Knowledge Engineer.

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Data Management Analyst

Data Management Analysts plan and implement data management strategies. They are in high demand, with the U.S. Bureau of Labor Statistics predicting an 18% growth from 2020 to 2030. The Web of Data is a valuable resource for Data Management Analysts, as it provides a way to integrate data from different sources into a single data management strategy. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Data Management Analyst.

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Web Developer

Web Developers design and develop websites. They are in high demand, with the U.S. Bureau of Labor Statistics predicting an 13% growth from 2020 to 2030. The Web of Data is a valuable resource for Web Developers, as it provides a way to integrate data from different sources into a single website. This course can help you build a foundation in the Web of Data, which can be helpful for a career as a Web Developer.

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