First Steps with R in Life Sciences

We are sorry but this course is oversubscribed with a long waiting list.

Due to the COVID-19 situation, this course will be streamed for the registered participants. Registered participants will receive specific information directly from the respective course’s organizers. **

Overview

R is a complete, flexible and open source system for statistical analysis and graphics, which has become a tool of choice for biologists and biomedical scientists who need to analyse and visualise large amounts of data. Due to its popularity, R is continuously updated and extended with the latest libraries for data manipulation, modelling and visualisation. This course will give an introduction to R and Rstudio (an integrated development environment for R) in an interactive manner. Participants will use some datasets to practise data manipulation and graphical exploration, as well as some statistical hypothesis testing and modelling with R.

Audience

This two-day course is addressed to beginners seeking a practical knowledge of the R syntax and environment, in order to explore, interpret and visualize their data.

Learning objectives

At the end of the course, participants should be comfortable with the R environment and be able to read, understand and write R commands, allowing them to implement and interpret a workflow for their data analysis, such as:

• interact with the R environment
• import data, explore it and summarise it
• explore data through visual representations
• ( test some statistical hypothesis )

This decision was made to ensure that the previous parts would not be rushed despite the expected delays caused by the course being online. The course contents (slides, exercices, solutions) pertaining to that part of the course will still be made available to registered participants.

We apologise for the inconvenience.

Prerequisites

Knowledge / competencies

As it is a course for beginners, no background in R or any programming language is required. However, you are encouraged to go through some of the R documentation available here. Please also note this course is NOT a training on statistics but rather a training on how to use R to perform different tasks, statistics being one of them.

Technical

A computer with the latest R and RStudio versions installed. We ask that participants contact us in advance if they have trouble installing these progams, as there will be no time to handle installation issues during the course.

Furthermore, to be able to follow the course online, we ask that you install zoom on your computer (note that there is no need to create an account, or to pay any license on your part). Video tutorials are available if you wish to get better acquainted with the software before the course.

Application

Registration fees are **120 CHF ** for academics and 600 CHF for for-profit companies. This includes course content material and coffee breaks.

Deadline for registration and free-of-charge cancellation is set to 04 April 2020. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.

You will be informed by email of your registration confirmation.

Venue and time

Biozentrum, Klingelbergstrasse 70, 4056 Basel Seminarraum 104

The course wil be held online.

The course will start at 9:00 and end around 17:30. Precise information will be provided to the participants on due time.

Additional information

Coordination: Patricia Palagi

We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the course).

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

For more information, please contact training@sib.swiss.