Introduction to Statistics and Data Visualisation with R

This course is full. From now on, any new application will be put onto the waiting list. Applicants will only be contacted if a place becomes available.

Overview

This course is designed to provide researchers in biomedical sciences with experience in the application of basic statistical analysis techniques to a variety of biological problems.

The course will combine lectures on statistics and practical exercises, during which the participants will learn how to work with the widely used "R" language and environment for statistical computing and graphics.

Topics covered during the course include: reminders about numerical and graphical summaries, and hypothesis testing; multiple testing, linear models, correlation and regression, dimensionality reduction such as principal component analysis, heatmaps and the basis of clustering algorithms. Participants will also have the opportunity to ask questions about the analysis of their own data. 

Audience

This typical profile is a biologist needing to perform statistical analyses using R.

Learning outcomes

At the end of the course, the participants are expected to:

• choose the right method to summarize a dataset, graphically and numerically
• perform basic hypothesis tests on a datatest
• assess whether different variables are linked, using correlation and regression analysis
• use the R statistical package to run statistical analyses and interpret their outcome
• use dimensionality reduction to overcome problems of big data
• perform clustering on datasets
• visualise complex data using heatmaps.

Prerequisites

Technical:

• A laptop with a wifi connection
• Software to be installed PRIOR to the course: R, R Studio

• No prior statistical knowledge is required in order to attend the course
• Participants do not need any experience in R before the course

Application

This course is full. From now on, any new application will be put onto the waiting list. Applicants will only be contacted if a place becomes available.

Registration fees for academics are 240 CHF and 1200 CHF for for-profit companies.

While participants are registered on a first come, first served basis, exceptions may be made to ensure diversity and equity, which may increase the time before your registration is confirmed.

Deadline for free-of-charge cancellation is set to 23/01/2023. 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. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.

Venue & Time

The course will take place at the University of Lausanne.

It will start at 9:00 and end around 17:00 every day.

Please note that a social dinner will be organised on 06 February after the course.

Precise information will be provided to the participants on due time.

Additional information

Coordination: Diana Marek

We will recommend 1 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.

Please note that participation in SIB courses is subject to our general conditions.

SIB abides by the ELIXIR Code of Conduct. Participants of SIB courses are also required to abide by the same code.

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