DATA VISUALISATION FOR ENGINEERS – LEVEL 1

OVERVIEW

Aside mine automation, one of the evolving areas of focus for the mining industry is BIG DATA. Yet, a lot of engineering professional have lost the art of conveying meaningful information to support data-driven decision making. The seminar will explore some of the myths, good, bad of data visualisation with emphasis on key principles and best practice.

PROGRAM

Course Outcomes

  • Grasp principles and requirement for visualising data
  • Use visualization end goal to prepare and explore data
  • Tips for conveying information using data visualization

This delivery will focus on the essential Data visualization principles and learn how to communicate data-driven findings. This course uses actual mining industry data to highlight the weaknesses of several widely-used data visualization tools and artifacts, why they should avoid and emphasises best practice techniques, hints and tricks with basic tools. Key topics to be covered in this 2-module session include:

  • Effective Use of Tables
  • Effective Use of Graphs
  • Statistical data presentation
  • Misleading through visualisation

PRE-REQUISITES:

In order to fully realize the objectives of this course, attendees would at least have a reasonable understanding of basic data manipulation and graphical display tools and techniques commonly used in MS Excel environment. A basic grasp of mining and mineral industry terminology would be great but not essential.