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DTSTAMP:20260709T182951Z
UID:5d2c6b7d-9c49-49f5-9b54-83713e7d27ca
DTSTART:20250311T090000Z
DTEND:20250313T170000Z
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 \nEach day of the course 
 focuses on a specific topic\, as follows: \n\n**Day 1. R fundamentals:** A
 n introduction to the language and its interface. Get familiar with R\, R 
 studio\, operators\, variables\, functions\, directories and the script ed
 itor. \n\n**Day 2. Data visualisation:** Providing you with the tools to m
 ake publication quality plots using R. \n\n**Day 3. Statistical analysis i
 n R:** We will cover statistical methods ranging from simple univariate st
 atistics to dealing with large volumes of variables using Principal Compon
 ent Analysis. \n\nThe course is designed to be **undertaken at the student
 ’s own pace** with **1 on 1 targeted support** from **our team of expert
 s. Our team comprises computational biologists\, data scientists\, and bio
 informaticians** with a strong background in both wet and dry lab projects
 . Empowering you on a self-learning path\, you will **gain essential skill
 s to apply R to your research projects** and to generate publication-ready
  outputs. \n\nWe will also be available to **assist with your learning up 
 to two months after the final day** of the course. Moreover\, upon complet
 ion of the course\, all delegates will be **invited to join a peer-peer su
 pport community “RClub”** to enhance their research/analytical work. \
 n\nThis course runs twice a year – in **March and in October**. The next
  cohort will be held online on **11th-13 March**. \n\n**Sign up using the 
 [link provided](https://forms.office.com/Pages/ResponsePage.aspx?id=MVElUy
 mxEECG4UdL_X6AdhWSPTMZ0-JPrmodQZMqA-xUNDE0WkIwTEVPRkdDRDM2U1ZNRE1IWE1TSC4u
 ) before the 25th February**. Places are limited and registration may clos
 e earlier if places are full. \n\nThe course has a cost of **£300 for all
  academic delegates\; £500 for all delegates from public institutions (no
 t academic)**. If you are a delegate from the **University of Liverpool yo
 u can access student bursaries**\, that you can apply to using this link. 
 Note the delegate **bursaries applications close on the 11th February**. Y
 ou must submit both a registration form and a bursary application to be co
 nsidered. \n\nFor more advanced data analysis (e.g. omics) and data scienc
 e projects\, we strongly recommend you also sign up for our R for Data Sci
 ence course. \n\n**Applications close on the 25th February**\, and spaces 
 are limited. \n\n**To sign up\, please use [this form](https://forms.offic
 e.com/Pages/ResponsePage.aspx?id=MVElUymxEECG4UdL_X6AdhWSPTMZ0-JPrmodQZMqA
 -xUNDE0WkIwTEVPRkdDRDM2U1ZNRE1IWE1TSC4u).**
SUMMARY:R for Beginners
URL;VALUE=URI:https://www.liverpool.ac.uk/computational-biology-facility/ev
 ents/r-beginners/
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