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DTSTAMP:20260716T130205Z
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DTSTART:20260924T083000Z
DTEND:20260925T163000Z
DESCRIPTION:A practical introduction to data analysis and visualisation usi
 ng the R programming language.\n\nR is one of the leading programming lang
 uages for statistical computing and data science and is widely used for da
 ta analysis\, visualisation and statistical modelling. This course introdu
 ces the core skills needed to work effectively with scientific datasets in
  R\, with an emphasis on exploratory data analysis\, data manipulation and
  visualisation.\n\nThe course is entirely based on open-source software\, 
 and all tools used during the training are freely available.\n\nBy the end
  of the course\, participants should be able to:\n\n* work confidently wit
 h R and interactive coding environments\n* import\, inspect and perform qu
 ality control checks on tabular datasets\n* manipulate and reshape dataset
 s for downstream analysis\n* summarise and analyse grouped data\n* create 
 and customise data visualisations suitable for scientific communication\n*
  combine datasets using shared identifiers and resolve common data-cleanin
 g issues\n\nTeaching is primarily hands-on\, combining short presentations
  with live coding demonstrations and guided practical exercises.\n\n\n    
 Book this event or register interest\n    Please choose the section that a
 pplies to you.\n    \n    University of Cambridge member\n    \n    Book n
 ow\n    Register interest\n    \n    \n    External participant\n    \n   
  Book now\n    Register interest\n    \n    \n    \n\n== Intended audience
  ==\n\nThis course is suitable for:\n\n* researchers and students who are 
 new to data analysis in R\n* participants interested in practical data sci
 ence skills for research applications\n* researchers working with biologic
 al\, biomedical or experimental datasets\n* participants with some prior p
 rogramming experience who want to strengthen their R data analysis skills\
 n\n== Course fees ==\n\nAll fees are per full training day.\n\n{| class="w
 ikitable"\n|-\n! Category\n! Fee\n|-\n| Industry full charge\n| £130.00\n
 |-\n| Academic / Government / charity concessionary\n| £65.00\n|-\n| Camb
 ridge University staff members / postdocs / visitors\n| £65.00\n|-\n| Cam
 bridge University registered students\n| Free\n|-\n| Cambridge University 
 registered students non-attendance\n| £22.00\n|-\n| Special events\n| Per
  event\n|}\n\nPayment options will be provided in booking confirmation ema
 ils sent after registration.\n\n[More details…](https://bioinfotraining.
 bio.cam.ac.uk/postgraduate/eligibility)\n\n== General information ==\n\nMo
 re detailed information is available on our dedicated [cancellation and no
 n-attendance policy](https://bioinfotraining.bio.cam.ac.uk/cancellation-an
 d-non-attendance)\, [waiting list](https://bioinfotraining.bio.cam.ac.uk/w
 aiting-list)\, [accessibility](https://bioinfotraining.bio.cam.ac.uk/acces
 sibility-support)\, [privacy policies](https://bioinfotraining.bio.cam.ac.
 uk/privacy-and-cookie-policies) and [terms &amp\; conditions](https://bioi
 nfotraining.bio.cam.ac.uk/https%3A/bioinfotraining.bio.cam.ac.uk/events/te
 rms-and-conditions) pages.\n\nGuidance on visiting Cambridge and finding a
 ccommodation is available [here](https://bioinfotraining.bio.cam.ac.uk/abo
 ut).
LOCATION:Craik-Marshall Building
SUMMARY:Data analysis in R (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/6429029
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