Module 2

Data Visualisation Essentials Certification Preparatory Course

Duration: 12 hours


This qualification is intended for an individual who aspires to become a Data Citizen in the organisation using open-source technology to perform descriptive analytics and data visualisation. It is also highly relevant to other key staff involved in the requirements input, design, development, delivery and ultimate use of the digital initiatives including Data consumer, digital initiatives decision maker, business analyst, and operational line managers/staff.

For private classes, please contact us at (852) 2116 3328 for more details.

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Certified Skills

  • Interpret, clean, relate and summarise data during data analysis
  • Design and build a data visualisation dashboard with Apache Superset
  • Apply data visualisation best practices to answer the business questions

Intended Audience

Anyone who want to:

  • Prove their ability to use low-cost and high-return open-source technology to perform impactful descriptive analytics
  • Show their expertness to design and build a data visualisation with best practice
  • Tag themselves with fundamental data literacy


  • Basic computer software skill
  • Basic internet skill


50 Multiple Choices | 75 minutes (Module 2)


Syllabus Highlights

Descriptive Analytics

  • The goal and value of descriptive analytics
  • Data prep and tasks for descriptive analytics

Visualisation Style and Application

  • Understand the key-value and apply the best practices in data visualisation
  • Recognise the key attributes and styles in performing data visualisation

Create Visualisation with Apache Superset

  • Key features of Apache Superset
  • Data prepping for effective data visualisation with Apache Superset - modelling, filtering, style & form


Mr. Patrick Tsoi

  • Doctor of Education (in progress), Hong Kong Baptist University
  • Master in IT in Education, University of Hong Kong
  • Bachelor of Engineering in System Engineering and Engineering Management, Chinese University of Hong Kong
  • An Experienced Trainer, Educator and Chief Data Scientist with a demonstrated history of working in the talent training and staff recruiting industry
  • He is a strong IT training professional who is proficient in Hands-on Data Science Training, Learning Management, Instructional Design, Professional Services and Programming


Mr. Simon Mok

  • M.Phil. Computer Science, University of Hong Kong
  • MSc, Computer Science, Chinese University of Hong Kong
  • He works as a Chief Technology Officer as well as a professional IT trainer
  • Simon’s work includes software development projects, specializing in IT service management, full-stack web-based and mobile apps development, software testing, Internet security, AWS web services, big data, databases and NoSQL. He is a holder of many professional qualifications from Microsoft (MCSE, MCSD), Oracle (MySQL and Oracle databases), Exin (ITIL, ISO 20000), and more. On top of his identity of CTO, he is also a frequent trainer at the HKPC and various private enterprises, both domestically and internationally.