Profile
The core of this 15-hour synchronous e-learning course is the ggplot2 package in R, and it builds from there. You will learn how to turn raw spreadsheets into layered, publication-ready charts — scatterplots, bar charts, histograms, and faceted comparisons — using one of the most widely adopted grammar-of-graphics tools in data work. No prior R experience is assumed, so the pace is steady and practical rather than abstract.
You will work in a live virtual classroom, which means an instructor is present throughout the three sessions, and you can ask questions as you code along. Each module walks you through real datasets, and you will spend most of your time with your hands on the keyboard, not just watching slides. By the end, you should be able to load data, tidy it, and produce visualisations that actually communicate a finding — not just a pretty picture.
The practical outcome is straightforward: you leave with a reusable skill that fits directly into reporting, operations, or product roles where numbers need to be explained to people who are not data specialists. For managers and HR teams, this is a sensible way to build internal capability in a half-week commitment. The course is delivered in English, runs part-time to suit working adults, and is fully e-learning, so there is no travel time involved.
Fees are structured with SkillsFuture subsidies in mind — the full course fee is $1,600, and most eligible learners will pay $480 after subsidy, placing it in the common $200–$500 band. The course reference number is TGS-2020501896, which means it is part of the recognised training framework. Do check your own grant eligibility and the provider’s current schedule, as funding details and class dates do change.
Given the course’s rating of 4 out of 5 and a job impact score of 3, this is a solid, dependable entry point into visual analytics rather than a specialised deep dive. If your goal is to move beyond pivot tables and start producing clear, code-based graphics in R, this first look is a practical place to begin.