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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260812T065617Z
UID:81c1b830-4973-4587-9668-e6944aa899d1
DTSTART:20200420T083000Z
DTEND:20200421T163000Z
DESCRIPTION:PLEASE NOTE that until further notice\, due to the evolving sit
 uation with Coronavirus no courses will be offered as classroom based at t
 he Training Facility. The Bioinformatics Team will be teaching the course 
 live online\, with tutors to assist you with instant and personalised feed
 back and to help you to run/execute the scripts which we will be using dur
 ing the course.  We will be aiming to simulate the classroom experience as
  closely as possible\, with opportunities for one-to-one discussion with t
 utors and a focus on interactivity throughout.\n\nDiscount offer of 50% of
 f normal fees applies to this course.\n\nR is one of the leading programmi
 ng languages in Data Science.  It is widely used to perform statistics\, m
 achine learning\, visualisations and data analyses.  It is an open source 
 programming language so all the software we will use in the course is free
 .  This course is an introduction to R designed for participants with no p
 rogramming experience.  We will start from scratch by introducing how to s
 tart programming in R and progress our way and learn how to read and write
  to files\, manipulate data and visualise it by creating different plots -
  all the fundamental tasks you need to get you started analysing your data
 .  During the course we will be working with one of the most popular packa
 ges in R\; tidyverse that will allow you to manipulate your data effective
 ly and visualise it to a publication level standard.\n\nPlease note that i
 f you are not eligible for a University of Cambridge [Raven](http://www.uc
 s.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register y
 our interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/bookin
 g-form/?event-id=3338924&amp\;course-title=Introduction%20to%20R%20for%20B
 iologists).''
LOCATION:Craik-Marshall Building
SUMMARY:Introduction to R for Biologists (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/3338924
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