Training Programme
Data Visualisation and Story Telling
Learn to apply different types of visualization techniques, how to evaluate them, design impactful visuals,, and how to present data-driven solutions.
Programme Objectives
This course aims to provide participants the understanding of the fundamental to intermediate principles of data visualization. Participants are to understand and apply the right visualization techniques to display and explain analytics visually for scientific and business purposes. Knowing visualization techniques and how to apply these techniques allow participants to present complex big data set for patterns that are difficult to explain from text-based results. From communicating with data, to creating meaningful data visualizations up to storytelling what’s the outcome derive from the data will leave an impactful impression to the audience.
The demand for data scientist is increasing and those who knows how to do data visualization and data story telling are increasing day by day. More and more companies are sourcing talent and professionals who has this capability. This course aims to provide participants the understanding of the fundamental to intermediate principles of data visualization. Participants are to understand and apply the right visualization techniques to display and explain analytics visually for scientific and business purposes. Knowing visualization techniques and how to apply these techniques allow participants to present complex big data set for patterns that are difficult to explain from text-based results. From communicating with data, to creating meaningful data visualizations up to storytelling what’s the outcome derive from the data will leave an impactful impression to the audience.
The demand for data scientist is increasing and those who knows how to do data visualization and data story telling are increasing day by day. More and more companies are sourcing talent and professionals who has this capability.
Key Learning Outcomes
- Able to apply different types of visualization techniques for the needs of business and scientific applications
- To evaluate and compare different types of visualization techniques used for data presentation
- Design intuitive visuals that are easy for the audience to interpret
- Design impactful visuals that are easy to interpret
- Present findings and solve business and scientific needs through stories
Programme Outline
Training Format
Training Duration
Target Audience
Target Industries
Programme Certification
Min. and Max. Participants
Fees
: Online
: 4 sessions; 3.5 hours per session
: Working adults
: Any industries
: Certificate of Attendance from Sunway University
: 30-35 participants per training cohort
: RM1,800 per participant (including 6% SST)
*The fee includes training fee, training materials (softcopy), certification of attendance from Sunway University, virtual training platform (e.g. Zoom, Microsoft Teams and etc.) only.
Training Outline
Unit | Topic |
|---|---|
1 | Introduction to Visual Analytics |
2 | Analytical Reasoning and Critical Thinking |
3 | Building Core Skills for Visual Analysis |
4 | Analytical techniques and practices |
5 | Analytical patterns |
6 | Why data storytelling |
7 | Data exploration |
8 | Storyboarding |
9 | Designing your graph to tell a story |
10 | Uncovering the context using design thinking |
