ON-DEMAND WEBINAR
Visualizing Data for Scientific Discovery
A two-part interactive workshop on data visualization and exploratory data analysis
This two-part interactive workshop explores how modern data visualization and exploratory data analysis (EDA) support rigorous, insight-driven scientific work.
As scientific data becomes increasingly complex, the ability to interpret and communicate findings clearly is essential.
This workshop provides structured, practical training in visual analytics, equipping participants with tools to uncover structure, evaluate relationships, and support defensible conclusions.
Using guided, hands-on exercises and live expert discussion, participants develop practical techniques for exploring data efficiently and effectively.
Key learning points
Part 1: Foundations of visual analytics
- Understand why dynamic visualization improves scientific and engineering decisions.
- Discover techniques for more efficient data preparation and exploration.
- Create consistent, meaningful visual summaries using Graph Builder.
- Build a strong foundation for fast, reliable exploratory analysis.
Part 2: Exploring high-dimensional data
- Extend your skills from exploration to data-driven insight and modeling.
- Identify key drivers of process outcomes using screening and modeling tools.
- Use the Profiler to interpret effects and evaluate optimization scenarios.
- Discover advanced visualizations for communicating results effectively.
Across both sessions, expect to gain practical skills you can immediately apply to your own scientific or engineering data.
No advanced statistical background required.
Presented by the Royal Society of Chemistry.