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DTSTAMP:20260717T074251Z
UID:5b34c78e-27b4-483c-b5db-7f140e0af524
DTSTART:20261209T093000Z
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DESCRIPTION:A practical introduction to data analysis and visualisation usi
 ng the Python programming language.\n\nPython is one of the leading progra
 mming languages in data science and is widely used for data analysis\, vis
 ualisation\, statistics and machine learning. This course introduces the c
 ore skills needed to work effectively with scientific datasets in Python\,
  with an emphasis on exploratory data analysis\, data manipulation and vis
 ualisation.\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 with Py
 thon and interactive coding environments\n* import\, inspect and perform q
 uality control checks on tabular datasets\n* manipulate and reshape datase
 ts 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-cleani
 ng issues\n\nTeaching is primarily hands-on\, combining short presentation
 s with live coding demonstrations and guided practical exercises.\n\n\n   
    Book this event or register interest\n      This event is not yet open 
 for booking. Please choose the section that applies to you.\n      \n     
  University of Cambridge member\n      Register interest\n      External p
 articipant\n      Register interest\n      \n      \n\n== Intended audienc
 e ==\n\nThis course is suitable for:\n\n* researchers and students who are
  new to data analysis in Python\n* participants interested in practical da
 ta science skills for research applications\n* researchers working with bi
 ological\, biomedical or experimental datasets\n* participants with some p
 rior programming experience who want to strengthen their Python data analy
 sis skills\n\n== Course fees ==\n\nAll fees are per full training day.\n\n
 {| class="wikitable"\n|-\n! Category\n! Fee\n|-\n| Industry full charge\n|
  £130.00\n|-\n| Academic / Government / charity concessionary\n| £65.00\
 n|-\n| Cambridge University staff members / postdocs / visitors\n| £65.00
 \n|-\n| Cambridge University registered students\n| Free\n|-\n| Cambridge 
 University registered students non-attendance\n| £22.00\n|-\n| Special ev
 ents\n| Per event\n|}\n\nPayment options will be provided in booking confi
 rmation emails sent after registration.\n\n[More details…](https://bioin
 fotraining.bio.cam.ac.uk/postgraduate/eligibility)\n\n== General informati
 on ==\n\nMore detailed information is available on our dedicated [cancella
 tion and non-attendance policy](https://bioinfotraining.bio.cam.ac.uk/canc
 ellation-and-non-attendance)\, [waiting list](https://bioinfotraining.bio.
 cam.ac.uk/waiting-list)\, [accessibility](https://bioinfotraining.bio.cam.
 ac.uk/accessibility-support)\, [privacy policies](https://bioinfotraining.
 bio.cam.ac.uk/privacy-and-cookie-policies) and [terms &amp\; conditions](h
 ttps://bioinfotraining.bio.cam.ac.uk/https%3A/bioinfotraining.bio.cam.ac.u
 k/events/terms-and-conditions) pages.\n\nGuidance on visiting Cambridge an
 d finding accommodation is available [here](https://bioinfotraining.bio.ca
 m.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Data analysis in Python (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/6432007
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