Solidity Developer: Careers in Blockchain Technology
March 14, 2025
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Instructors: Catherine Faron Zucker
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(90 reviews)
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Intermediate level
Basic knowledge of computers and in particular the classic tools and languages of the Web and the ability to install and run software on a machine.
(90 reviews)
Recommended experience
Intermediate level
Basic knowledge of computers and in particular the classic tools and languages of the Web and the ability to install and run software on a machine.
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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.
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.
14 videos25 readings6 assignments4 discussion prompts
This second week is dedicated to the Resource Description Framework (RDF), the standard data model to publish and link data on the Web.
10 videos22 readings5 assignments4 discussion prompts
This third week presents the SPARQL Query Language that enables users to perform information retrieval by querying RDF datasets on the Web of Data.
11 videos14 readings4 assignments4 discussion prompts
This last week offers an open conclusion of the MOOC by addressing several initiatives to integrate more and more data on the Web.
12 videos24 readings9 assignments2 discussion prompts
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
EIT Digital is a European education and innovation organisation with a mission to foster digital technology innovation and entrepreneurial talent for economic growth and quality of life. By linking education, research, and business, EIT Digital empowers digital top talent for the future. EIT Digital provides online and face-to-face Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by 20 leading technical universities around Europe. The universities deliver a unique blend of the best of technical excellence and entrepreneurial skills and mindset to digital engineers and entrepreneurs at all stages of their careers. The academic partners support Coursera’s bold vision to enable anyone, anywhere, to transform their lives by accessing the world’s best learning experience. This means that EIT Digital gradually shares parts of its entrepreneurial and academic education programmes to demonstrate its excellence and make it accessible to a much wider audience. EIT Digital’s online education portfolio can be used as part of blended education settings, in both Master's and Doctorate programmes, and for professionals as a way to update their knowledge.
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Universidad Nacional Autónoma de México
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90 reviews
50%
27.77%
12.22%
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Reviewed on May 4, 2020
The course made me understand the working of the web on a deeper level.
Reviewed on Aug 1, 2023
This was a good course. The quizzes could be solved based on the material provided. Slides and review code are useful. Thank you
Reviewed on Apr 21, 2021
Yes ,It's really very useful for me and I learned something from this course.
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