Introduction to Data Visualization

Section outline

• Course Overview

  Course Overview

  The focus of this course is to impart the craft of the data visualization discipline. You will understand what to think, when to think and how to resolve all the analytical and design decisions involved in any data-driven challenge. You'll improve your creative and analytical decision-making by adopting a design workflow to create data visualizations that are trustworthy, accessible and elegant. 

  Learning Outcomes

  This course will help you to:

  1. Recognize the definition of data visualization as well as the capabilities and activities involved in the design process
  2. Increase the sophistication of your critical thinking by following the 3 principles of good design
  3. Formulate a brief to establish clarity about the context and vision of your data visualization task
  4. Gather, familiarize and prepare your understanding of the data with which you are working
  5. Use editorial thinking to shape what you are going to say with your data visualization
  6. Broaden your awareness and the potential application of the variety of data representation techniques
  7. Explore the value and potential application of interactivity and annotation in your data visualization design
  8. Identify the application of colour and composition decisions in your data visualization design
• Course Instructor: Andy Kirk

  Course Instructor: Andy Kirk

  • Andy Kirk

    Andy Kirk is a UK-based freelance data visualization specialist: A design consultant, training provider, author, editor of visualisingdata.com, speaker, lecturer and researcher. He also provides data visualization services to the Arsenal FC performance team.

    Andy became a freelance data visualization professional in 2011, focusing primarily on providing consultancy and delivering training. He has delivered over 220 public and private training events across UK, Europe, North America, India, South Africa and Australia. Some of his clients include Spotify, Telefónica, Tesco, Hershey and CERN.

    In July 2016, Andy released his second book entitled “Data Visualisation: A Handbook for Data Driven Design”, published by Sage, offering a practical guide for anyone seeking to create data visualizations in the most effective and efficient way. A second edition was published in July 2019. 

    In 2014-2015, he collaborated on a research project called ‘Seeing Data’, funded by the Arts & Humanities Research Council and hosted by the University of Sheffield. This project explored data visualization literacy amongst the general public to learn about some of the human factors that influence engagement and understanding amongst readers of visualization works.

    Andy joined the highly-respected Maryland Institute College of Art (MICA) as a visiting lecturer in 2013 and taught a module on the Information Visualisation Masters programme through to 2017. He is also a visiting lecturer at Imperial College, London teaching a visualization module as part of the MSc Business Analytics programme, launched in 2015. He was also a visiting lecturer at Imperial College, London teaching a visualization module as part of the MSc Business Analytics programme, launched in 2015 and through to 2018. 
    

    View Bio for Andy Kirk
• Course Resources

  Course Resources

  You will need to access certain files and resources throughout the course to get the most out of the activities. You can find them all here. 
• Video Transcripts

  Video Transcripts

  You can access all video transcripts here.
  
• Pre-Course Self Assessment

  Pre-Course Self Assessment

  Before you dive into this course, spend a few moments reflecting on your familiarity with the topic and your current level of skills confidence. 

  You will then re-visit the same questions in our Post-Course Self Assessment and reflect on how the course has helped you develop in confidence and grow your skills.
• Module One: Introduction and Formulating your Design Brief

  Module One: Introduction and Formulating your Design Brief

  

  This module covers:

  1. Defining the subject of data visualization 
  2. The value of following a design workflow and design principles to shape your thinking 
  3. Defining the context of your visualization and identifying the circumstances that will impact on your process 
  4. Defining the vision of your visualization, identifying the experience and tone of voice that required
• Module Two: Working with Data and Establishing your Editorial Thinking

  Module Two: Working with Data and Establishing your Editorial Thinking

  

  This module covers:

  1. Establishing the origin, methods and practicalities of obtaining your raw material
  2. Establishing a detailed understanding of its physical properties 
  3. Preparing data for analysis 
  4. Using visualization techniques to help you understand the qualities it may possess
  5. Determining what is the most important, relevant and interesting content to portray to your audience 
  6. Deconstructing an existing visualization
• Module Three: Data Representation and Interactivity

  Module Three: Data Representation and Interactivity

  

  This module covers:

  1. Identifying and choosing charts
  2. The fundamentals of data encoding
  3. Influencing factors and considerations for data representation
  4. Deploying features of interactivity
  5. Data and presentation adjustments
  6. Influencing factors and considerations for interactivity
• Module Four: Annotation, Colour and Composition

  Module Four: Annotation, Colour and Composition

  

  This module covers:

  1. Incorporating annotation
  2. Colour and composition
  3. Further references and resources
• Post-Course Self Assessment

  Post-Course Self Assessment

  Now you’ve completed the course, spend a few moments reflecting on where your familiarity with the topics and your confidence skills le vels are at now. 

  Has the course helped you develop new skills and grow your confidence?

  You'll need to complete the Post-Course Self Assessment in order to download your certificate. If you didn't do the Pre-Course Self Assessment before starting the course, please go to the top of the page and reflect on your familiarity with the topic and your level of skills confidence before you started the course.
• Completion: Certificate

  Completion: Certificate

  Completing all modules (plus the pre and post-course assessments) will unlock the course certificate, which you can then download here. Your course certificate will only be made available once you have completed all these sections.

  If you have difficulty accessing your certificate, please contact the Sage support team at: onlinesupport@sagepub.co.uk. You can also check out this FAQ page which may be helpful.
• Give Feedback About This Course

  Give Feedback About This Course

  Did you enjoy the course? Please take two minutes to share your feedback. We use learner feedback in future course updates and developments to provide an excellent learning experience.
• Accessibility

  Accessibility

  We have high standards of accessibility on Sage Campus and as of May/June 2024 all activities within this course are keyboard and screen reader compatible. For more details on accessibility standards, please see the Sage Campus Accessibility Guide.

  For those using assistive technology, please note that within this course:

  • Tab components: JAWS and NVDA behave slightly differently. For NVDA to keep reading, it is best to exit focus mode and go back to browse mode. 
  • Matching: JAWS does not read out question label on dropdown focus.