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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T175327Z
UID:f7219a8d-6eca-437f-adc5-a0ebf5c589cf
DTSTART:20201214T140000Z
DTEND:20201217T182000Z
DESCRIPTION:PLEASE NOTE The Bioinformatics Team are presently teaching as m
 any courses live online\, with tutors to assist you with instant and perso
 nalised feedback and to help you to run/execute the scripts which we will 
 be using during the course.  We aim to simulate the classroom experience a
 s closely as possible\, with opportunities for one-to-one discussion with 
 tutors and a focus on interactivity throughout.\n\nR is one of the leading
  programming languages in Data Science. It is widely used to perform stati
 stics\, machine 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 workshop is an introduction to R designed for participants 
 with no programming experience. We will start from scratch by introducing 
 how to start programming in R and progress our way and learn how to read a
 nd write to files\, manipulate data and visualise it by creating different
  plots - all the fundamental tasks you need to get you started analysing y
 our data. During the workshop we will be working with one of the most popu
 lar packages in R\; tidyverse that will allow you to manipulate your data 
 effectively and visualise it to a publication level standard.\n\nThe works
 hop will be taught online via an online training environment that we have 
 in place.\n\nMore information about the course\, registration and fees can
  be found [here](https://e.issuu.com/anonymous-embed.html?u=bioinfocambs&a
 mp\;d=intrordatascience_dec2020).\n\nPlease note that if you are not eligi
 ble for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/fa
 q/raven/n5) account you will need to book or register your interest by lin
 king [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=37
 19822&amp\;course-title=External%20Introduction%20to%20R%20for%20Data%20Sc
 ience).''
LOCATION:Craik-Marshall Building
SUMMARY:Introduction to R for Data Science (ONLINE LIVE TRAINING) - EXTERNA
 L
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/3719822
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