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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
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DTSTAMP:20260711T122008Z
UID:01645b0e-6a30-4f64-b03f-69ce1bb5c228
DTSTART:20231121T090000Z
DTEND:20231124T170000Z
DESCRIPTION:A 4-day intensive course that builds on the content from the co
 urse R for beginners\, providing an excellent toolbox for multidisciplinar
 y scientists in areas of life sciences and biomedicine (particularly orien
 ted to omics datasets). The course covers a wide range of topics from prog
 ramming concepts to data normalisation\, functional enrichment or introduc
 tion to machine learning. All learning objectives are advertised in the we
 b. The course is designed to be undertaken at the student’s pace with 1-
 1 support available during the course and online support available up to t
 wo months post-course. All delegates are invited to join a peer-peer suppo
 rt community upon completion of the course to enhance their research/analy
 tical work. This course runs normally twice a year around April and Novemb
 er.
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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