Data Visualisation with RStudio - 24.11.2025 - Registration OPEN
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
charts
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.
Data Visualisation with RStudio - 09.10.2024
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
Tableau for beginners- 17.10.2024 - CANCELLED
This Tableau course is designed to equip learners with the essential skills required to navigate the software’s core features. Students will learn to create compelling visualisations, manipulate data, develop dashboards, and share insights effectively.
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.
Data visualisation (theory) - 5.04.2024, Zoom
This webinar will discuss why data visualisation is important and what we should consider when designing it. This means what chart type to pick, how much information to include, what (and how) to highlight, etc. The webinar will have a theoretical aspect, and we will assess real-life examples.
Tableau for beginners - 12.04.2024, Tartu
This Tableau course is designed to equip learners with the essential skills required to navigate the software’s core features. Students will learn to create compelling visualisations, manipulate data, develop dashboards, and share insights effectively.
Andmete visualiseerimine (teooria) - 18.04.2024, Tallinn - Kutsega
Seminaril käsitleme andmete visualiseerimise tähtsust ning seda, mida peaksime visualiseerimise loomisel arvesse võtma. See hõlmab muu hulgas joonise tüübi valikut, lisatava teabe hulka, mida ja kuidas esile tõsta jne. Võtame luubi alla ka näiteid päriselust.
Visualisatsioonide tegemine RStudio-ga - 19.04.2024, Tallinn - Kutsega
Me teeme andmete visualiseerimist kasutades ggplot2 paketti, mis on R-s laialdaselt kasutatav, ning loodud visuaalselt atraktiivsete ja kõrgelt kohandatavate graafikute loomiseks.