Module 1

Big Data and Open-Source Fundamentals Certification Preparatory Course

Duration: 6 hours


This qualification is intended for individual who aspires to improve the data literacy through skill-up the digital competence. 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

  • Describe the new best-practice to use in a big data analytics environment and how big data impacts the technology ecosystem
  • Explain why and how the open-source movement impacts the technology ecosystem
  • Explain the key factors to identify and use different data visualisation technology to communicate data in context

Intended Audience

Anyone who want to:

  • Prove your understanding of the big data, related technology and the possible applications
  • Starting out and/or lack of a strong portfolio of past working experience with big data


  • Basic computer software skill
  • Basic internet skill


40 Multiple Choices | 60 minutes (Module 1)


Syllabus Highlights

Big Data Analytics

  • The foundation concept of big data
  • How Big Data impacts the business world today
  • Analytics capabilities: Descriptive, Diagnostic, Predictive & Prescriptive from the big data angle

Open-source Software

  • Introduction to the open-source technologies and the development
  • The top projects from the world’s popular open-source software foundations such as Apache, Linux and Python
  • How open-source technologies becomes the trend to drive innovation and being the most critical part of enriching big data analytics

Data Visualisation

  • Design concept and feature of data visualisation
  • The introduction of Apache Superset, a user-friendly data visualisation tool that is essential to most of the data users today


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.