Module 1

Big Data and Open-Source Fundamentals Certification Preparatory Course

Duration: 6 hours

Overview

This qualification is intended for individual who aspires to improve their data literacy through skill-up their 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

Prerequisites

  • Basic computer software skill
  • Basic internet skill

Exam

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

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