Module 2

Data Visualisation Essentials Certification Preparatory Course

Duration: 12 hours

Overview

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. 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 opensource 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

Prerequisites

  • Basic computer software skill
  • Basic internet skill

Exam

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

  • The use and key features of Apache Superset
  • Data prepping for effective data visualisation with Superset - modelling, filtering, style & form

Trainer

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
  • Over 20+ years in the IT training field, and work includes complex projects applying data science, and software development in Finance, Data Science and Quantitative Analysis