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Creative and Effective Data Visualisation

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Data visualisation involves the creation and study of the visual representation of data in a pictorial or graphical format. It enables people to understand the significance of data by placing it in a visual context and help decision makers understand difficult concepts or identify new patterns. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualisation software.

Organizations generate and collect data in large volume every second of the day. Everyone, from executives and departmental decision makers to analysts and production line employees – hopes to learn things from those diverse sets of data that can help them make better decisions and operate more efficiently. Regardless of how much data orgnaisation have, one of the best ways to discern important relationships is through advanced analysis and easy-to-understand visualizations. Tables are generally used where users will look up a specific measurement, while charts of various types are used to show patterns or relationships in the data for one or more variables. These data may need to be collapsed and condensed but still provide graphs and charts that decision makers are so accustomed to for making informed business decisions.

A primary goal of data visualisation is to communicate information clearly and efficiently via statistical graphics, plots and information graphics effectively. Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message. Effective visualisation helps users analyse and reason about data and evidence. It makes complex data more accessible, understandable and usable.

Data visualisation is both an art and a science. Increased amounts of data created by Internet activity and an expanding number of sensors in the environment are referred to as “big data” or internet of things. Processing, analysing and communicating these data present ethical and analytical challenges for data visualisation. In todays’ day and age visualisations must be presented on the go to more sophisticated mobile users and also giving them the capability to explore the data in real time.

Programme Outcomes

On completion of this course you should be able to understand:

  • the evolution of data visualisation, and examples of best practice
  • the fundamental principles of good visualisation design
  • the design anatomy of a data visualisation
  • visual perception principles – dos and don’ts
  • to evaluate visualisations based on human perception and cognition
  • the practical guide to key data visualisation methods and tools
  • what makes good and bad data visualisations
  • the gallery of various types of charts and graphs that are available (e.g. scatter plots, bubble graphs, pie charts)
  • how to easily identify which format to use and for which target audience
  • splitting data between different visualisations
  • using colour theory and best practices
  • quick wins and common mistakes
  • hands-on experience with various data visualisation tools such as excel data visualisation features, SAS Visual Analytics and Tableau

 

Programme Outline
  • Introduction to Data Visualisation
  • Human Visual Cognition and Perception
  • Preparing Data for Visualisation
  • Hands-on: Exercise with Excel Data Visualisation Capabilities
  • Selecting Charts for Visualisation – Part A
  • Classification of Data Visualisation Plots
  • Hands-on: Exercise with SAS Visual Analytics Capabilities
  • Effective Design and Aesthetics
  • Data Visualisation Tools
  • Big Data and Data Visualisations
  • Hands-on: Exercise with Tableau Data Visualisation Capabilities

Who Should Attend?

This course is for those who are already working with data and wants to improve their visualisations techniques or who are keen in exploring how to maximise and exploit their visualisation capability.

This is course is for you if

•  you want to explore how to present complex information in a digestible format
•  you’re a communications and marketing professional who is always aiming for maximum impact on information being presented to clients and top management
•  you want to get a better response to your visualisations online
•  you might be an analyst, statistician, or researcher looking to enhance your data presentation.
•  you might be looking to increase the sophistication of how you read, interpret and evaluate the effectiveness of such visualisations.

Course Fee

Discounted Course Fee   S$2,400.00
7% GST      S$168.00
Total Nett Course Fee payable including GST   S$2,568.00

There will be 10% discount for group registration of 3 participants and above

*All discounts are subject to change by STMI

Course Leader

Dr. Kish Ranai

Download the application form