In our data-driven world, the ability to visualize information clearly and compellingly is crucial. Modern data visualization techniques transform complex datasets into visually appealing insights. Yet, crafting high-quality visualizations that truly resonate with your audience can be a daunting task, fraught with challenges such as:
- Setting up the right environments
- Selecting the appropriate visual elements
- Mastering various tools
- Writing effective code
- Creating publication-ready visuals
Content and learning goals of the course:
This course is designed to immerse you in the world of data visualization, equipping you with the skills to turn data into stunning, insightful visuals. What You'll Learn:
- Data Handling for Visualizations: Learn the essentials of managing and preparing data for visualization.
- Visualization Techniques: Explore and implement a range of popular visualization methods commonly used in scientific research.
- Perception in Visualization: Understand key perception principles to ensure your visualizations are intuitive and impactful.
- Design Principles: Dive into the fundamentals of effective visualization design.
Throughout the course, you'll engage with real-world use cases, designing compelling visualizations to address specific problems and scenarios.
Tools and Technologies:
- Tableau: Master this powerful drag-and-drop tool to create interactive charts, including bar and scatter plots, maps, heat maps, and tree maps.
- Python and R Notebooks: For other visualization techniques like violin plots, parallel coordinates and projections, you'll learn to leverage the capabilities of Python and R to build insightful visualizations.
- JupyterLab: Utilize this versatile development environment to create, share, and experiment with code and visualizations seamlessly.
Prerequisites:
Basic Python or R skills are helpful but not strictly necessary.
Dates:
The course consists of six 2-hour sessions (9:00 to 11:00), which are all within 2 weeks:
- November 2025: 3th, 4th, 6th, 10th, 11th, 13th Nov
- February 2026: 9th, 10th, 12th, 16th, 17th, 19th Feb
- June 2026: 1st, 2nd, 4th, 8th, 9th, 11th Jun