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Data visualisation

Data visualisation (theory) - 30.09.2025

Researchers often face overwhelming raw data, making it crucial to utilize data visualization effectively. This skill transforms complex datasets into clear, insightful narratives, avoiding the pitfalls of misinterpretation through poor design. In this course, we’ll explore optimal chart types for different data, engage in interactive exercises, discuss best practices, and learn about the data-ink ratio and color selection, all illustrated with practical examples.

Data visualisation (theory) - 20.03.2025

Researchers often face overwhelming raw data, making it crucial to utilize data visualization effectively. This skill transforms complex datasets into clear, insightful narratives, avoiding the pitfalls of misinterpretation through poor design. In this course, we’ll explore optimal chart types for different data, engage in interactive exercises, discuss best practices, and learn about the data-ink ratio and color selection, all illustrated with practical examples.

This course will be followed up by Tableau and Microsoft Power BI courses for beginners in April.

Introduction to Exploratory Data Analysis (EDA) with R - 29.01.2025

Course is full. You can sign up for a waiting list in case anyone cancels their attendance.

Are you ready to unlock the potential of your data? This one-day workshop will introduce you to Exploratory Data Analysis (EDA)—an essential first step in any data analysis workflow. Designed for graduate-level learners without a computational background, this course will equip you with the foundational skills to summarize, visualize, and interpret data effectively. With a hands-on, beginner-friendly approach, you’ll practice these skills using real-world datasets and leave with the confidence to explore data independently.

Before attending the course, please ensure you have installed on your laptop:

Data visualisation (theory) - 03.10.2024

Researchers often face overwhelming raw data, making it crucial to utilize data visualization effectively. This skill transforms complex datasets into clear, insightful narratives, avoiding the pitfalls of misinterpretation through poor design. In this course, we’ll explore optimal chart types for different data, engage in interactive exercises, discuss best practices, and learn about the data-ink ratio and color selection, all illustrated with practical examples.