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.
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.
R is a free software environment for statistical computing and graphics. It compiles and runs on various UNIX platforms, Windows and MacOS.
RStudio is an essential tool for anyone involved in R programming. It plays a vital role in data analysis by facilitating data import, access, transformation, exploration, visualization, and modeling tasks. If you’re embarking on your journey to learn R, now is the perfect moment to familiarize yourself with RStudio. Discover what RStudio is, how to install it, and begin harnessing its capabilities to enhance your data analysis and programming skills.
It would be beneficial to participate in OpenRefine course, so your data would be clean before you start analysing it.
The title of the episode is “Teadustarkvara arendaja roll akadeemias” - “The role of a research software engineer”. Uku spoke mostly of his personal experiences developing software in academia. Viewable at https://youtu.be/watch?v=2oLt1NcrROg and listenable anywhere you consume podcasts.
The practical workshop on cleaning your messy data with OpenRefine software.
First, we will cover spreadsheet best practices. Then, we will put that knowledge into practice with OpenRefine. This course will explore the depths of OpenRefine software and see what it can offer. This will include cleaning the data in bigger batches and unifying the data in one sweep (transforms and expressions). Additionally, we will introduce the possibility of downloading additional data from other databases and different extensions OpenRefine software has.
SABIO-RK is a manually curated database for biochemical reactions and their kinetic properties. FAIRDOMHub is a free research data management platform built upon the FAIRDOM-SEEK software. FAIRDOM-SEEK contains specific features for systems biologists for data and model management. This is an introductory course for SABIO-RK and FAIRDOMHub. You have the option to participate in either one or both of the courses.
SABIO-RK: 25-NOV-2024 2:00 pm - 5:00pm (CET / UTC +1)
FAIRDOM-SEEK: 26-NOV-2024 2:00 pm - 6:00pm (CET / UTC +1)
Data management is an essential part of scientific research and is crucial for maximizing the value of data. Crash course in Data Management is an introductory course that equips researchers with the necessary skills for effective organization and management of research data. Participants will gain knowledge of best practices in data documentation, backup, and sharing. We will go through exercises and assignments to reinforce new knowledge.
This course is addressed to life scientists or bioinformaticians in academia or industry who are using the R statistical software and want to extend their knowledge.
Application deadline: 19 August 2024
Date: 02 - 04 September 2024
This course is addressed to life scientists, bioinformaticians, and computational biologists who would like to learn more about general best practices in Machine Learning and get more out of their Machine Learning models: more precise hyper-parameters, more generalizable models, and more interpretable models.
Application deadline: 29 September 2024
Date: 15 October 2024