Coursera

Responsive Web Design (Coursera)

Offered by University of London, Goldsmiths, University of London,
Responsive Web Design (Coursera)

In this course you will learn how to apply concepts from interaction design and human computer interaction in order to design and build an interactive, professional looking website. You will learn how to make your web page designs adapt to different screen sizes using responsive grid layouts. You will learn how to add navigation and other design elements, and you will learn how to separate data and display using JavaScript objects and templates.

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

At the end of the course, you will be able to:

  1. Explain why users need to know where they are, where they can go and what is on a web page
  2. Create wireframe mockups of web pages
  3. Identify the key functional elements of web pages
  4. Use Bootstrap components to realise page designs
  5. Use JavaScript data structures such as arrays and objects to define the data used in a web page
  6. Use the Handlebars template library to convert data to HTML
  7. Add interactivity to templates using JavaScript event listeners

In this course, you will complete:
1 website design assignment taking ~1 hour to complete
1 programming assignment taking ~1 hour to complete
4 quizzes, each taking ~20 minutes to complete
multiple practice quizzes, each taking ~5 minutes to complete
Participation in or completion of this online course will not confer academic credit for University of London programmes.

Course 2 of 6 in the Responsive Website Development and Design Specialization

Syllabus

Week 1
Responsive Web Design: Course overview;
In this course you will learn how to apply concepts from interaction design and human computer interaction in order to design and build an interactive, professional looking website. You will learn how to make your web page designs adapt to different screen sizes using responsive grid layouts. You will learn how to add navigation and other design elements, and you will learn how to separate data and display using Java
Script objects and templates.
Web design principles
Welcome to the first module of 'Responsive Web Design'. By the end of this module you will be able to understand the basic concepts of usability and user experience and tell the user where they can go with navbars. In addition you will be able to tell the user what is here with effective layout and understand the high level requirements of creating an accessible website. We hope you enjoy the module!

Week 2
Realising design principles in code
Welcome to the second module of 'Responsive Web Design'. By the end of this module you will be able to set up a basic Bootstrap site and build Bootstrap collapsible, responsive navbars using titles and breadcrumb trails and you'll also be able to build multiple layouts in one with a responsive grid. We'll also be looking at installing Bootstrap themes. Enjoy!

Week 3
Adding content to websites
Welcome to the third module of 'Responsive Web Design' By the end of this module, you will be able to separate page structure from page content, use JavaScript objects and implement JavaScript templates with Handlebars as well as being able to display different data with the same template and the same data with different templates. Finally we will be looking at using a Bootstrap modal. We hope you enjoy the module!

Week 4
Building a full gallery app
Welcome to the fourth module of 'Responsive Web Design'. By the end of this module you will be able to store objects in an array and display them with a template, and dynamically display single images from an array. We will also be looking at implementing a search function, and by working with complex data structures, switching between different templates. Enjoy!

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

Related Courses

Uso de bases de datos con Python (Coursera) Coursera
University of Michigan

Uso de bases de datos con Python (Coursera)

CS: Software Engineering Computer Science

Este curso presentará a los estudiantes los conceptos básicos del lenguaje de consulta estructurado (Structured Query Language, SQL), así como el diseño básico de bases de datos para almacenar datos como parte de una iniciativa de varios pasos para recopilar, analizar y procesar datos. El curso utilizará SQLite3 como base de datos. También crearemos rastreadores web y procesos de visualización y recopilación de datos de varios pasos. Utilizaremos la biblioteca D3.js para realizar la visualización básica de datos.

Aug 17th 2026
5-12 Weeks
Programming Python Databases
Details
Introduction to Open Source Application Development (Coursera) Coursera
Illinois Tech

Introduction to Open Source Application Development (Coursera)

CS: Software Engineering

This course introduces basic concepts of systems programming using a modern open source language. You will learn to apply basic programming concepts toward solving problems, writing pseudocode, working with and effectively using basic data types, abstract data types, control structures, code modularization and arrays. You will learn to detect errors, work with variables and loops, and discover how functions, methods, and operators work with different data types. You will also be introduced to the object paradigm including classes, inheritance, and polymorphism.

Aug 17th 2026
5-12 Weeks
Programming Python Object-Oriented Programming
Details
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Aug 17th 2026
4 Weeks
Programming Python Machine Learning
Details
Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

CS: Software Engineering CS: Theory

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Aug 17th 2026
5-12 Weeks
Java Algorithms Data Structures
Details
An Introduction to Interactive Programming in Python (Part 1) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 1) (Coursera)

CS: Programming

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Aug 10th 2026
5-12 Weeks
Programming Python Interactive Applications
Details
Introduction to TCP/IP (Coursera) Coursera
Yonsei University

Introduction to TCP/IP (Coursera)

Security & Networking

You use the Internet through your PC (Personal Computer), laptop, tablet, smartpad, and smartphone every day in everything you do. Through your own PC/laptop, you can easily learn everything about the Internet, and that is what this course is focused on. In this course ‘Introduction to TCP/IP,’ you will learn the operational functions of Internet technologies (which include IPv4, IPv6, TCP, UDP, addressing, routing, domain names, etc.) and your PC/laptop's security and gateway Internet setup and basic principles.

Aug 17th 2026
5-12 Weeks
Internet TCP/IP Computer Science
Details
Principles of Computing (Part 2) (Coursera) Coursera
Rice University

Principles of Computing (Part 2) (Coursera)

CS: Software Engineering CS: Theory

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Aug 10th 2026
4 Weeks
Programming Python Computing
Details
Kotlin for Java Developers (Coursera) Coursera
JetBrains

Kotlin for Java Developers (Coursera)

CS: Software Engineering Computer Science

The Kotlin programming language is a modern language that gives you more power for your everyday tasks. Kotlin is concise, safe, pragmatic, and focused on interoperability with Java code. It can be used almost everywhere Java is used today: for server-side development, Android apps, and much more. This course aims to share with you the power and the beauty of Kotlin.

Aug 17th 2026
5-12 Weeks
Programming Java Functional Programming
Details