BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260814T175822Z
UID:1c7942a7-50ca-4f37-8739-d55b5eefb031
DTSTART:20261201T090000Z
DTEND:20261204T170000Z
DESCRIPTION:This **4-day intensive course** builds on the **content from ou
 r [R for Beginners course](https://www.liverpool.ac.uk/computational-biolo
 gy-facility/events/r-beginners/)**\, providing an excellent toolbox for mu
 ltidisciplinary scientists in areas of **life sciences and biomedicine (pa
 rticularly oriented to omics datasets).**\n\n\n**Day 1. Recap of R fundame
 ntals and introduction to loops in R:** Building on the R fundamentals fro
 m our R for beginners course\, we will teach you how to use programmatic l
 oops. Loops allow you to automate repetitive tasks and accelerate your ana
 lysis\, making your scripts neater and saving you time.\n\n\n**Day 2. Appl
 ying loops with custom functions:** We will teach you how to apply loops t
 o different data structures and how to create your very own functions in R
 \, allowing you to customise your analysis based on your needs.\n\n\n**Day
  3. Introduction to Data Science and Data Analysis Pipelines:** We will co
 ver the key steps in a data analysis pipeline including normalisation\, ba
 tch correction\, clustering\, and how to deal with selecting variables in 
 a multivariate dataset using supervised modelling.\n\n\n**Day 4. Introduct
 ion to machine learning and functional enrichment:** We will introduce the
  powerful machine learning approach Random forests as well as apply gene o
 ntology functional enrichment analysis\, finishing with applying your new 
 skills to a real-world RNAseq case study.\n\n\nThe course is designed to b
 e undertaken at the **student’s own pace** with **1 on 1 targeted suppor
 t** from our team of experts. **Our team comprises computational biologist
 s\, data scientists\, and bioinformaticians** with a strong background in 
 both wet and dry lab projects. Empowering you on a self-learning path\, yo
 u will **gain essential skills to apply R to your research projects** and 
 to **generate publication-ready outputs**.\n\n\nWe will also be available 
 to **assist with your learning up to two months after** the final day of t
 he course. Moreover\, upon completion of the course\, all delegates will b
 e **invited to join a peer-peer support community “RClub”** to enhance
  their research/analytical work.\n\n\nThis course runs twice a year – in
  April and in December. The next cohort will be held online on the **1st-4
 th December 2026.*\n\n\n**Sign up using the [link provided](https://forms.
 cloud.microsoft/Pages/ResponsePage.aspx?id=MVElUymxEECG4UdL_X6AdhWSPTMZ0-J
 PrmodQZMqA-xUQzdRMVNDSkFKWlk3S1VXMDBNMlZNSVlINS4u) before the 17th Novembe
 r 2026**. Places are limited and registration may close earlier if places 
 are full.\n\n\nThe course has a cost of **£400 for all academic delegates
 \; £600 for all delegates from public institutions (not academic). Indust
 ry delegates may submit an application** and will be quoted on an individu
 al basis. If you are a delegate from the **University of Liverpool you can
  access student bursaries**\, that you can apply to using [this link](http
 s://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=MVElUymxEECG4UdL_X6Ad
 hWSPTMZ0-JPrmodQZMqA-xUN0w1T0s3V05IVzQySkE3WDFBNjBYRFVZQS4u). Note the **d
 elegate bursaries applications close on the 3rd November 2026**. You must 
 submit both a registration form and a bursary application to be considered
 .\n\n\n**Applications close on the 17th November 2026**\, and spaces are l
 imited.\n\n\n**To sign up\, please use [this form](https://forms.cloud.mic
 rosoft/Pages/ResponsePage.aspx?id=MVElUymxEECG4UdL_X6AdhWSPTMZ0-JPrmodQZMq
 A-xUQzdRMVNDSkFKWlk3S1VXMDBNMlZNSVlINS4u).**
LOCATION:Delivered online virtually\, with face-to-face sessions on Teams
SUMMARY:R for Data Science
URL;VALUE=URI:https://www.liverpool.ac.uk/computational-biology-facility/ev
 ents/r-data-science/
END:VEVENT
END:VCALENDAR