Course Description

Important Note:
As this class places strong emphasis on the hands-on experience, you will be working with data for the majority of the time in the class. To optimize the learning experience, it is mandatory for all participants to bring a laptop and install the software needed for the class beforehand. 
 
Participants will be using the software in this course: Tableau Public (Windows and Mac). Detailed instructions on the installation will be sent to your registered email after your attendance has been confirmed. Please make sure that you install and activate the software only 3 days before the class as the trial period is only valid for two weeks.

Note:
As this is a WSQ-accredited programme, ISCA is required to upload participant’s assessment results to SkillsFuture Singapore (SSG) for the generation of electronic Statement of Attainment (SOA). ISCA will collect personal information from all participants to generate the relevant SOA.

Participants are requested to bring a laptop for this programme.

Programme Objective


Have you ever tried to explain your data to stakeholders who do not appreciate your insights? Are you impressed with dashboards that can help users to answer their questions and facilitate data discovery? The answer to these lies in how you visualise your data. Data visualisation is not simply creating charts. It encompasses a series of planning and data-related activities to help you present your insights effectively.

In this hands-on course, you will learn all the basic skills and techniques to design and create effective and aesthetically pleasing data visualisations using Tableau to help you become more productive at work, be it for reporting or analyses purposes. We will also cover the art of creating interactive dashboards and touch briefly on infographics and to learn practical knowledge to improve your communication and presentation skills.
 

This course covers 4 Learning Units (LU).

  1. Plan and Design
    We will familiarise participants with the process to collect user requirements and the various types of charts that can be used to address the stakeholders’ needs.

    2. Develop and Troubleshoot
    Participants will learn to develop three different types of data visualisations (charts, dashboards, and infographics).

    3. Present and Communicate
    Participants will learn more about techniques to enhance their presentation visually, and how to craft succinct commentaries.

    4. Feedback and Improve
    In the last LU, participants will learn how to be more effective in implementing their data visualisation at work and being future-oriented. More advanced topics such as automation and change management will also be discussed.

Programme Outline

LU1: Plan and Design

  • Analyse business problem and audience to establish objectives for data storytelling and visualisation
  • Select appropriate visualisation techniques and information displays to convey data and findings
  • Select and organise appropriate elements to create informative and dynamic data displays
  • Assess the style and needs of the audience and adjust the language and presentation formats 


LU2: Develop and Troubleshoot

  • Describe the differences among different data types and table structures
  • Undertake simple data preparation steps to cleanse data for analytics and visualisation
  • Organise and analyse data to present trends and correlations
  • Develop interactive graphics, visuals and other technical features into the data visualisation
  • Discuss limitations with data and highlight potential issues with interpretations of findings
  • Organise and analyse data to present trends and correlations via alternative dashboard and infographics
  • Develop interactive graphics, visuals and other technical features into the dashboard and infographics
  • Discuss limitations with data and highlight potential issues with interpretations of findings pertaining to dashboard and infographics


LU3: Present and Communicate

  • Adopt the usage of visual cues to convey key meaning and insights effectively
  • Create concise and insightful commentary to accompany visualisation and describe the context
  • Describe data trends and patterns in the narrative format to cater to different groups of audience and scenario


LU4: Feedback and Improve

  • Demonstrate an understanding of automation and workflow to streamline data preparation steps to design a real-time dashboard
  • Appreciate the importance of obtaining timely feedback from audience to update the objectives of data visualisation and refine the presentation elements
  • Discuss key change management concepts and develop plans to obtain buy-in from stakeholders


This course uses a mixture of presentations, group discussions and hands-on exercises. A significant portion of class time will be dedicated to hands-on session to ensure participants can create the visualisation back at work.

Assessment

Assessment in the form of Written Assessment and Case Studies (open book) on both days. (For those applying for SSG training grant, it is compulsory to complete and pass all assessments.

Instructor Image

Jeffrey Ong

Jeffrey Ong is a certified curriculum and assessment designer, as well as a trainer for adult learning. He specialises in the design of data science content for adult learners in both online and classroom training settings. After teaching in schools, Jeffrey transitioned into the education publication industry where he conducted product training for clients and staff. His burgeoning interest in Data Science coincided with the opportunity to join Databuilder PL, a data analytics consultancy company that aims to help businesses drive data-driven solutions. This secured and unlocked his passion for Big Data and the visualization of data, which he now shares through interactive workshops and courses.
WSQ Let's work on easy-to-understand reports! Effective data visualisation and communication

Lesson(s)

1