summeRworkshop

DataScience@UL-FRI is an initiative at the Faculty of Computer and Information Science, University of Ljubljna (UL-FRI). Our mission is to make UL-FRI a leading center for teaching, research and industry collaboration in the area of Data Science.

Data Science@UL-FRI

Faculty of Computer and Information Science

SummaryThis workshop is aimed at a broad audience of academics, professionals, and students that are interested in learning the basics of the R programming language and exploratory data analysis with R. Some prior experience with programming is recommended. If you know what a variable, a for-loop, and an if-statement are, you are good to go!Schedule<ul><li>09:45 Registration</li><li>10:00 Session 1 + 10 minute break</li><li>11:40 Session 2</li><li>12:30 Lunch</li><li>13:30 Session 3 + 10 minute break</li><li>15:10 Session 4</li><li>16:00 End of workshop</li></ul>Lunch and refreshments will be provided!Syllabus<ul><li>Getting started in R</li><li>Loading and tidying up your data</li><li>Basic data analysis</li><li>Visualizing data</li><li>Creating dynamic reports</li></ul>Instructors<a href="https://fri.uni-lj.si/en/employees/gregor-pirs" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Gregor Pirš</a>, <a href="http://psy.ff.uni-lj.si/mblab/en/members/researchers/Jure_Dem%C5%A1ar" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Jure Demšar </a>and <a href="https://fri.uni-lj.si/en/employees/erik-strumbelj" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Erik Štrumbelj</a> are researchers in applied statistics and machine learning at the University of Ljubljana and active members of the <a href="https://github.com/bstatcomp" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Bayesian Statistics and Computation group</a>. They have over 2 decades of combined experience with R, including research and professional use, teaching R, and (co)authorship of several R packages.Attendee equipment prerequisitesIt is recommended that you bring a laptop with a working installation of R and RStudio (or another IDE that can compile and run R code, such as Visual Studio Code, for example).

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summeRworkshop

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