Web of Data by European Institute of Innovation and Technology via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based	Learning efforts 6 Hours Per Week

Course overview

Web of Data by Coursera is a Massive Open Online Course (MOOC) curated as a joint initiative by Université de Nice Sophia-Antipolis, Université Côte d'Azur, INRIA and EIT Digital. It is an intermediate level course that requires a basic knowledge of web languages and running and installing software.

During the Web of Data online course, you will learn the principles, standards and languages to exchange data on the web and develop new applications. The course curriculum has been divided into four sections covering the technical and core skills needed to master the web. Each week you will learn through a combination of short videos, quizzes, forums, and supplementary learning resources.

After finishing the Web of Data certification, you will have skills and knowledge in data mining, data analysis, machine learning, AI processing, and data management. It will take approximately 18 hours to complete the entire online programme.

Course and certificate fees

Type of course

Free

You can join Coursera’s Web of Data certification for free or pay the course fee to pursue the certificate and graded content.
Coursera also provides financial aid if you cannot afford the fee.

Web of Data fee structure -

Head	Amount
Certificate fees	Rs. 2,435

certificate availability

Yes

certificate providing authority

Coursera

certificate fees

₹2,435

Eligibility criteria

Before joining the Web of Data training, you must have a basic knowledge and understanding of computers, classic web tools and languages. You must also know how to install and run software on a device.

Certification qualifying details

To earn the shareable Web of Data certificate, you need to complete the entire programme.

What you will learn

Web application development skills

The Web of Data certification syllabus will enlighten you on the following concepts:

Searching for query graph occurrences
Mixing and using existing data to obtain new data
Accessing data sources on the web remotely
SPARQL Query Language
Integrating data sources and formats

The syllabus

Module 1: Principles of a Web of Linked Data

Videos

Introduction
Welcome video by Fabien Gandon
Historical introduction to the web architecture
Separating presentation and content
From pages to resources
Linked data principles
Stack of standards and languages
The BBC Web site uses linked (open) data
DBpedia at the heart of the linked open data cloud
Searching the web of data
Open Calais: from natural language to linked data
When software agents access the web of data
Linked data for exploratory search
Take away week

Readings

Start of the course "Web of Data"
Welcome and week 1 to-do-list
Internet vs Web
Documents about the World Wide Web Consorsium (W3C)
XML parsers
Namespace and URIs
Discover who rents a domain name
Choosing a scheme for your URIs
To go further
The many names of the Semantic Web
Using semantic web and linked data approaches - The BBC website
Open data cloud - DBpedia
The Semantic Web Dog Food eating its own Dog Food...
Search engines on the Web of Data
Open Calais: Language processing techniques and machine learning techniques
Getting HTML and XML data
Exploratory search engine
Slides of The 1st Week
Important: A Web of Linked Data
Summary of Week 1 - Principles of a web of linked data

Quizzes

Ideas and inventors
Standards and Recommendations
Find the missing values in this piece of XML
Linked Data Principles
Surfing DBpedia
Using the CURL command

Discussion Prompts

Introduce yourself
Technical problems and general questions about this MOOC
Questions about this Week Contents
Share your Resources

Module 2: The RDF data model

Videos

Describing resources
Triple model and graph model
Serialisation syntaxes
Values, types and languages
Representing groups
Naming graphs
RDF schema
Validating and translating RDF data
Visualisation of RDF graphs
Take away week

Readings

Introduction to week 2 and to-do-list
To go further
Composition Rules for RDF Triples and Graphs
to go further
An Example RDF Graph Serialized in Various RDF Syntaxes
Transform RDF Statements from one RDF Syntax to Another
To go further...
Turtle and RDF/XML Codes to Type Literal Values and Resources
XML Schema Built-in Datatype Hierarchy5m
To go further
Turtle and RDF/XML Codes to Represent RDF Bags and Lists
To go further...
TriG and N-Quads Codes to Represent Named Graphs5m
To go further...
Turtle and RDF/XML Codes to Declare RDF Classes and Properties
To go further
RDF Validation Services
RDF Visualization Service
Guided our of the Web of Data
Slides of the 2nd Week: the RDF Data Model
The RDF Data Model
Summary of Week 2 - The RDF Data Model

Quizzes

RDF / XML
An RDF Graph in the Turtle Syntax
An RDF Graph in the RDF/XML Syntax
Advanced Level Exercise
Modelling and Formalizing an RDF Schema

Discussion Prompts

Have you found interesting RDF data on the Web?
Share your resources
Questions about this Week Contents
Share your Resources

Module 3: SPARQL Query Language

Videos

RDF graph pattern matching
Statements
Filter, constraint and function
Pre and post-processing
Several Query forms
Results and update
Flint SPARQL editor
Corese
Gephi and Corese to analyse data on the web
QAKIS.org
Take away week

Readings

Introduction to week 3 and to-do-list
SPARQL Queries from the video "RDF Graph Pattern Matching"
SPARQL Queries from the video "Statements"
SPARQL Queries from the video "Filter, Constraint and Function"
Solve SUDOKU with SPARQL...
SPARQL Queries from the video "Pre and Post Processing"
SPARQL with FLINT interface
Several Query Forms
Slides of Week 3: SPARQL Query Language10m
Train yourself
Continue eating your own dog food
Links and References
SPARQL Query Language
Summary of Week 3 - SPARQL Query Language

Quizzes

SPARQL statements and Complex Patterns
Filter the name
Post processing and Other query forms
Advanced level exercise

Discussion Prompts

Do you know other references on this topic?
SPARQL
Questions about this Week Contents
Share your Resources

Module 4: Integration of other data formats and sources

Videos

RDFa: an RDF syntax inside HTML
GRDDL: extract RDF from X(HT)ML
JSON-LD: JSON syntax for RDF
Tabular data and metadata (CSV)
R2RML: integration with databases
LDP: a REST API to linked data
Augmenting web browser with data in the pages
RDFa distiller
JSON-LD from Google Knowledge Graph API
Licentia: A web site to choose the license of your data
Take away week 4
Conclusion

Readings

Introduction to week 4 and to-do-list
Data from the video "an RDF syntax inside HTML"
RDFa Lite Cheat Sheet
schema.org
Twitter cards
RDFa.info Play tool
GRDDL example in HTML and XML
Data from the video "JSON-LD: JSON syntax for RDF"
Data from the video: "Tabular data and metadata (CSV)"
Data from the video: "R2RML mapping"5m
Data from the video: "LDP: a REST API to linked data"
Microformats
Google Knowledge Graph Search API5m
Slides of the 4th Week
End of the week and end of the MOOC exercises
Summary of week
Support slides to the video

Quizzes

Linked data
RDF with holes...
SPARQL
From RDFa to Turtle/N3
GRDDL
JSON-LD in the Google Knowledge Graph API
CSV on the Web
R2RML - Specifying a transformation
LDP - Call to a container

Discussion Prompts

Questions about this Week Contents
Share your Resources

Admission details

Step 1: Open the Web of Data programme web page through this link here: https://www.coursera.org/learn/web-data

Step 2: Next, click on the ‘Enroll for free’ option, and you will be presented with two different options to join the programme.

Step 3: You can either audit the course and access it for free or pay the fee to gain the certificate. Choose one option to continue.

Step 4: After you select the fee option, make the payment. Else you can join and begin the programme.

Filling the form

The Web of Data certification course doesn’t ask you to fill any lengthy registration forms and has a straightforward enrolment process. Click on the ‘Enroll for free' button. Then, either join for free or purchase the course as per your goals.

Scholarship Details

You can avail scholarship for your Coursera Plus membership in the form of financial aid. To apply, fill the application form that appears beside the 'Enroll for free' tab above the 'About this course' section of the course page. Then, in about two weeks, a Coursera representative will contact you.

How it helps

The Web of Data online course is a 100% online programme completed in 18 hours approximately. You can study at your pace and space through videos, quizzes, and other resources. You can learn from this short-term course for free, or if you want to commit to earning the certificate, you can pay the course fee. The main benefit of the e-certificate is that it can be shared on LinkedIn and added to your list of accomplishments to increase your employability.