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.
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 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)
The aim of the course is to give the participants the basics to be able to independently work in R.
If the answer to two or more of the following questions is “yes”, then this course is for you.
Registration deadline: 17 June 2024
Date: 03 - 04 July 2024
This course is composed of 7 sessions, based on the FAIR training handbook and 10 simple rules to make material FAIR publication. All sessions are structured in a way that complement each other aiming to introduce participants with a theoretical & hands-on approach of how to create FAIR material by design.
Registration: 11. April 2024 until 23- August 2024
Date: 18 - 19 September 2024
This 1-day course will introduce modules and recipes to unlock the potential of Python for day-to-day data exploration and analysis of real-life datasets. This course is addressed to life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements and would like to explore if further in their daily data wrangling and exploration tasks.
Registration deadline: 08 May 2024
This course is addressed to bioinformaticians and life scientists that are doing bioinformatic analyses and want to get introduced to containers.
Registration deadline: 10 May 2024
In this interactive online workshop we will introduce the FAIR principles in the context of bioimaging data. Designed for researchers across all scales of bioimaging, from molecules to humans, this workshop will provide simple yet effective steps for a smooth start to your FAIR journey.
Date & Time: May 23, 2024 03:00 PM EET