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  • An Introduction to R: Software For Statistical Analysis

    26 October - 2 November 2015

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to R: Software For Statistical Analysis https://tess.elixir-europe.org/events/an-introduction-to-r-software-for-statistical-analysis-5b7d1c9b-1e47-4b94-b5b4-c90e3fecc35d The aim of this course is to introduce participants to the basics of statistical analysis and the open source statistical software [R](https://www.r-project.org/), a free software environment for statistical computing and graphics. Participants will actively use R throughout the course, during which they will be introduced to principles of statistical thinking and interpretation by example, exercises and discussion about a range of problems. The examples will be used to present a variety of statistical concepts and techniques, with no focus on any specific discipline. Important information: We have 12 configured laptops for use at the workshop. After these laptops have been allocated, participants will either need to share, or bring their own. These laptops will be allocated to the first individuals to express an interest in using them. When booking, please indicate under "Special requirements" if you wish to use one of the 12 laptops or bring your own. Participants bringing their own laptop will be given instructions on what software to install. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register interest by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis_bioinfo-IntroR_26.10-28.10-2.11.2015_1545967&CourseName=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis&CourseDate=26.10-28.10-2.11.2015&CourseDuration=3&EventID=1545967).'' 2015-10-26 13:30:00 UTC 2015-11-02 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] All postgraduates Research Assistants and Research Associates who have had minimal exposure to statistical methods and/or software but want to develop the necessary skills to perform analysis and gain experience using R. workshops_and_courses [] []
  • Autumn School in Data Science: Machine learning applications for life sciences

    23 - 26 September 2019

    Cambridge, United Kingdom

    Elixir node event
    Autumn School in Data Science: Machine learning applications for life sciences https://tess.elixir-europe.org/events/summer-school-in-biomedical-data-science-best-practices-for-single-cell-analysis-and-machine-learning-applications THIS EVENT IS NOW FULLY BOOKED! This Autumn School aims to familiarise biomedical students and researchers with principles of Data Science. Focusing on utilising machine learning algorithms to handle biomedical data, it will cover: effects of experimental design, data readiness, pipeline implementations, machine learning in Python, and related statistics, as well as Gaussian Process models. Providing practical experience in the implementation of machine learning methods relevant to biomedical applications, including Gaussian processes, we will illustrate best practices that should be adopted in order to enable reproducibility in any data science application. This event is sponsored by [Cambridge Big Data](https://www.bigdata.cam.ac.uk/). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3050610&amp;course-title=Autumn%20School%20in%20Data%20Science).'' 2019-09-23 10:30:00 UTC 2019-09-26 14:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Bioinformatics University of Cambridge Bioinformatics Training [] Students and researchers from life-sciences or biomedical backgroundswho haveor will shortly havethe need to apply the techniques presented during the course to biomedical data.The course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £350. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £175. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style> workshops_and_courses [] HDRUK
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