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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260618T014931Z
UID:aedf0160-aa75-4c54-ac4e-62b616c1f9b3
DTSTART:20241119T090000Z
DTEND:20241122T170000Z
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**Day 1. Recap of R fundament
 als and introduction to loops in R:** Building on the R fundamentals from 
 our R for beginners course\, we will teach you how to use programmatic loo
 ps. Loops allow you to automate repetitive tasks and accelerate your analy
 sis\, making your scripts neater and saving you time.\n\n**Day 2. Applying
  loops with custom functions:** We will teach you how to apply loops to di
 fferent data structures and how to create your very own functions in R\, a
 llowing you to customise your analysis based on your needs.\n\n**Day 3. In
 troduction to Data Science and Data Analysis Pipelines:** We will cover th
 e key steps in a data analysis pipeline including normalisation\, batch co
 rrection\, clustering\, and how to deal with selecting variables in a mult
 ivariate dataset using supervised modelling (e.g. PLS-DA).\n\n**Day 4. Int
 roduction to machine learning and functional enrichment:** We will introdu
 ce the powerful machine learning approach Random forests as well as apply 
 gene ontology functional enrichment analysis\, finishing with applying you
 r new skills to two RNAseq case studies.\n\nThe course is designed to be u
 ndertaken at the **student’s own pace** with **1 on 1 targeted support**
  from our team of experts. **Our team comprises computational biologists\,
  data scientists\, and bioinformaticians** with a strong background in bot
 h wet and dry lab projects. Empowering you on a self-learning path\, you w
 ill **gain essential skills 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 cour
 se**. Moreover\, upon completion of the course\, all delegates will be **i
 nvited to join a peer-peer support community “RClub”** to enhance thei
 r research/analytical work.\n\nThis course runs twice a year – in April 
 and in November. The next cohort will be held online on **19th-22nd Novemb
 er 2024**.\n\n**Sign up using the [link provided](https://forms.office.com
 /pages/responsepage.aspx?id=MVElUymxEECG4UdL_X6AdhWSPTMZ0-JPrmodQZMqA-xUM0
 xaWThQVFdXMTdSNjE5STI0VzYyVklIUS4u&amp\;route=shorturl) before the 5th Nov
 ember**. Places are limited and registration may close earlier if places a
 re full.\n\nThe course has a cost of **£400 for all academic delegates**\
 ; **£600 for all delegates from public institutions (not academic)**. **I
 ndustry delegates may submit an application** and will be quoted on an ind
 ividual basis. 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 22nd October 2024*
 *. You must submit both a registration form and a bursary application to b
 e considered.\n\n**Applications close on the 5th November 2024**\, and spa
 ces are limited.\nTo sign up\, please use **[this form](https://forms.offi
 ce.com/pages/responsepage.aspx?id=MVElUymxEECG4UdL_X6AdhWSPTMZ0-JPrmodQZMq
 A-xUM0xaWThQVFdXMTdSNjE5STI0VzYyVklIUS4u&amp\;route=shorturl)**.
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/
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