Mastering Visual Analytics Series - Module 1: Unlocking Insights with Analytics

Training Provider: SINGAPORE INSTITUTE OF TECHNOLOGY
Course Reference: TGS-2026066289
S$720
Original: S$2,400
Save S$1,680

About This Course

This course introduces participants to visual analytics as a practical approach to managing information overload and interpreting interconnected data. The course focuses on the fundamentals of visual vocabulary, visual cues, and cognitive load, providing participants with a structured foundation to understand how data can be translated into meaningful visuals aligned to specific analysis and narrative objectives using Tableau.

This course is designed to introduce participants to foundational visual analytics using Tableau, focusing on selecting and constructing appropriate visual charts aligned to data and narrative objectives. The Course equips participants with an understanding of visual vocabulary, visual cues, and cognitive load, and builds practical capability to apply these concepts using Tableau through guided hands-on exercises and group work on domain-friendly datasets.

Through structured practice and instructor-led feedback, participants develop the ability to create relevant visuals, conduct basic diagnostic analysis through hypothesis formulation, and communicate insights clearly using dashboards. These skills support effective data interpretation and reporting in workplace contexts, strengthening participants’ confidence in working with data and presenting insights visually for decision-making.

What You'll Learn

At the end of the course, participants will be able to:

1. Understand the context and application of visual analytics in managing information overload, information inter-connectivity, and data cardinality.

2. Understand how to apply the right visual vocabulary when presenting data and to story-tell the derived insights through dashboards.

3. Conduct diagnostics through hypothesis generation and validation using Tableau.

Entry Requirements

1. Couse Participants should be data and digital literate.
2. Knowledge Workers should come with the experience of using Excel to analyse basic data and create reports and charts.

Course Details

Duration 16 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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