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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260815T182519Z
UID:4bb3306d-274f-441f-bc6b-8b03d1bc0ee9
DTSTART:20261104T090000Z
DTEND:20261106T170000Z
DESCRIPTION:This **intensive 3-day course** introduces the statistical soft
 ware and **programming language R** with specific focus on its application
 s in **life sciences and clinical research**. \n\n\n \nEach day of the cou
 rse focuses on a specific topic\, as follows: \n\n\n**Day 1. R fundamental
 s:** An introduction to the language and its interface. Get familiar with 
 R\, R studio\, operators\, variables\, functions\, directories and the scr
 ipt editor. \n\n\n**Day 2. Data visualisation:** Providing you with the to
 ols to make publication quality plots using R. \n\n\n**Day 3. Statistical 
 analysis in R:** We will cover statistical methods ranging from simple uni
 variate statistics to dealing with large volumes of variables using Princi
 pal Component Analysis. \n\n\nThe course is designed to be **undertaken at
  the student’s own pace** with **1 on 1 targeted support** from **our te
 am of experts. Our team comprises computational biologists\, data scientis
 ts\, and bioinformaticians** with a strong background in both wet and dry 
 lab projects. Empowering you on a self-learning path\, you will **gain ess
 ential skills to apply R to your research projects** and to generate publi
 cation-ready outputs. \n\n\nWe will also be available to **assist with you
 r learning up to two months after the final day** of the course. Moreover\
 , upon completion of the course\, all delegates will be **invited to join 
 a peer-peer support community “RClub”** to enhance their research/anal
 ytical work. \n\n\nThis course runs twice a year – in **March and in Nov
 emeber**. The next cohort will be held online on **4th-6th November 2026**
 . \n\n\n**Sign up using the [link provided](https://forms.cloud.microsoft/
 Pages/ResponsePage.aspx?id=MVElUymxEECG4UdL_X6AdsUW5TMNnLhKvAP4aHkAGH9UMVJ
 aMFRTNzZSMUYzMjVRWVQzSkxUWDQzTC4u) before the 21st October 2026**. Places 
 are limited and registration may close earlier if places are full. \n\n\nT
 he course has a cost of **£300 for all academic delegates\; £450 for all
  delegates from public institutions (not academic)**. If you are a delegat
 e from the **University of Liverpool you can access student bursaries**\, 
 that you can apply to using [this link](https://forms.cloud.microsoft/Page
 s/ResponsePage.aspx?id=MVElUymxEECG4UdL_X6AdhWSPTMZ0-JPrmodQZMqA-xUN0w1T0s
 3V05IVzQySkE3WDFBNjBYRFVZQS4u). Note the delegate bursaries applications c
 lose on the **7th October 2026**. You must submit both a registration form
  and a bursary application to be considered. \n\n\nFor more advanced data 
 analysis (e.g. omics) and data science projects\, we strongly recommend yo
 u also sign up for our R for Data Science course. \n\n\n**Applications clo
 se on the 17th November 2026**\, and spaces are limited. \n\n\nTo sign up\
 , please use [this form](https://forms.cloud.microsoft/Pages/ResponsePage.
 aspx?id=MVElUymxEECG4UdL_X6AdhWSPTMZ0-JPrmodQZMqA-xUQzdRMVNDSkFKWlk3S1VXMD
 BNMlZNSVlINS4u).
LOCATION:University of Liverpool\, 765 Brownlow Hill
SUMMARY:R for Beginners
URL;VALUE=URI:https://www.liverpool.ac.uk/computational-biology-facility/ev
 ents/r-beginners/
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