Data Visualisation Primer (Classroom and Synchronous)

Offered by School of InfoComm Technology

Short Course / 6 days / TGS-2021004064

Note: This course requires Tableau Desktop to be installed on students' laptop. 
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Trainer Profile
Entry Requirements
Course Fees

Course Information

This short course covers the theory and techniques for creating effective visualisations based on graphic design. Learners will apply these principles and techniques to create rich visualisations for analysis and presentation using widely popular tools e.g. Tableau.

Learning Outcomes

• Define data visualisation and its role in data analytics;
• Understand the various types and components of data visualisation;
• Explain and implement the principles of data visualisation;
• Develop graphs, charts and interactive visuals using enterprise tools;
• Develop maps to perform geospatial analysis;
• Apply the principles and techniques of data visualisation to solve real world problems.

Course 
Schedule

Course Date: TBC
Application Period: TBC
Duration: 6 days
Time: 9am to 6pm
Delivery Mode: Classroom and Synchronous e-Learning
Venue: Ngee Ann Polytechnic / Online

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Day 1: Introduction to Data Visualisation (8 hours)


Activity/Session AM

  • Module Briefing
  • Activitiy:
    • Setup Microsoft Teams – Self-Lecture
    • Introduction to Data Analytics and visualisation
    • Introduction to Tableau Desktop

Activity/Session PM

  • Lecture:
    • Foundation of Building Visualisations
    • Visualising Data in Tableau Desktop
    • Creating a Dashboard Interface

 

  • Practical 1:
    • Basic Visualisation using Tableau Desktop I
Day 2: Working with Data in Tableau & Advanced Visualisations in Tableau I (8 hours)


Activity/Session AM

  • Lecture:
    • The Tableau Paradigm
    • Connecting to Data
    • Working with Data Extracts
    • Data Joins
    • Filtering Data

 

  • Practical 2:
    • Basic Visualisation using Tableau Desktop

Activity/Session PM

  • Lecture:
    • Comparing Values
    • Visualising Dates and Times
    • Relating Parts of the Data to the Whole
Day 3: Advanced Visualisations in Tableau II & Enhancing Visualisations in Tableau (8 hours)


Activity/Session AM

  • Lecture:
    • Visualising Distributions
    • Visualising Multiple Axes
    • Calculations in Tableau
    • Aggregate-level

Activity/Session PM

  • Lecture:
    • Visualisation Considerations
    • Adding Value to Visualisations

 

  • Practical 4:
    • Advanced Visualisation using Tableau Desktop II
Day 4: Assignment Consultation (8 hours, Online)


Activity/Session AM

  • Assignment Consultation

Activity/Session PM

  • Assignment Consultation
Day 5: Assignment Consultation (8 hours, Online)


Activity/Session AM

  • Assignment Consultation

Activity/Session PM

  • Assignment Consultation
Day 6: Assignment Submission Tableau workbook and video presentation (8 hours, online)


Activity/Session AM

  • Assignment Submission Tableau workbook and video presentation

Activity/Session PM

  • Assignment Submission Tableau workbook and video presentation

Trainer's Profile

Kua Kee Chuah

Mr Kua Kee Chuah graduated from the Nanyang Technological University with a Bachelor of Accountancy (Hons) and also holds a Masters of Science in Accounting and Finance (Distinction) from the London School of Economics and Political Science. Kee Chuah was a chartered accountant by profession and previously worked as a manager in Ernst and Young Singapore and USA offices, KPMG China and Standard Chartered Bank Singapore. He has been a full-time lecturer with the Polytechnic since 2013 and is currently holding the portfolio of Assistant Director, Student Life. His teaching portfolio includes business, financial, FinTech and analytics related modules. Kee Chuah also completed the General Assembly Data Science Immersive programme in 2020.

Entry Requirements

You are required to have working knowledge of Microsoft Office e.g. Word, Excel and Powerpoint. Students are required to bring their own laptop.

Course Fees

Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory.

Enhanced Training Support
For enhanced training support, enter SME in the promo code during course application.

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Applicants / Eligibility Fees
Full course fees after GST$2033.00
Singaporeans aged below 40, Permanent Residents & **LTVP+ qualified for SkillsFuture Funding$609.90
Singaporeans aged 40 & above qualified for SkillsFuture Mid-Career Enhanced Subsidy$229.90
Singaporeans, Permanent Residents & ##LTVP+ qualified for Enhanced Training Support for SMEs$229.90
Others (and Repeat Students)$2033.00