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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
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DTSTAMP:20260706T205453Z
UID:8e2431db-ed3c-4d9c-9b0f-8fcf86aeacd2
DTSTART:20241029T090000Z
DTEND:20241031T170000Z
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 fo
 cuses on a specific topic\, as follows:\n\n**Day 1. R fundamentals:** An i
 ntroduction to the language and its interface. Get familiar with R\, R stu
 dio\, operators\, variables\, functions\, directories and the script edito
 r.\n\n**Day 2. Data visualisation:** Providing you with the tools to make 
 publication quality plots using R.\n\n**Day 3. Statistical analysis in R:*
 * We will cover statistical methods ranging from simple univariate statist
 ics to dealing with large volumes of variables using Principal Component A
 nalysis.\n\nThe course is designed to be **undertaken at the student’s o
 wn pace** with **1 on 1 targeted support** from our team of experts. Our *
 *team comprises computational biologists\, data scientists\, and bioinform
 aticians** with a strong background in both wet and dry lab projects. Empo
 wering you on a self-learning path\, you will **gain essential skills to a
 pply R to your research projects** and to generate publication-ready outpu
 ts.\n\nWe will also be available to **assist with your 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 c
 ommunity “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 **29th-31st October 2024**.\n\n**Sign up using the 
 [link provided](https://forms.office.com/pages/responsepage.aspx?id=MVElUy
 mxEECG4UdL_X6AdhWSPTMZ0-JPrmodQZMqA-xURERCQ1BaTlJGMTZENElKNjFFU1FPRUMzWC4u
 &amp\;route=shorturl) before the 15th October**. Places are limited and re
 gistration may close earlier if places are full.\n\nThe course has a cost 
 of **£300 for all academic delegates\; £500 for all delegates from publi
 c institutions (not academic)**. If you are a delegate from the University
  of Liverpool you can access **student bursaries**\, that you can apply to
  using this link. Note the delegate bursaries applications close on the **
 1st October 2024**. You must submit both a registration form and a bursary
  application to be considered.\n\nFor more advanced data analysis (e.g. om
 ics) and data science projects\, we strongly recommend you also sign up fo
 r our R for Data Science course.\n\n**Applications close on the 15th Octob
 er 2024**\, and spaces are limited. \nTo sign up\, please use [this form](
 https://forms.office.com/pages/responsepage.aspx?id=MVElUymxEECG4UdL_X6Adh
 WSPTMZ0-JPrmodQZMqA-xURERCQ1BaTlJGMTZENElKNjFFU1FPRUMzWC4u&amp\;route=shor
 turl).
LOCATION:University of Liverpool\,  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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