Dear all, there are the last seats available for the 4th edition of the Network Analysis in R course. Dates: (online) March 27th-31st Course website: [ https://www.physalia-courses.org/courses-workshops/network-analysis-in-r/ ]( https://www.physalia-courses.org/courses-workshops/network-analysis-in-r/ ) This course will provide a complete guide to carrying out network analysis, from data collection to publishable results. The first two days cover networks as a data structure, talking about how to recognise them, make them from a dataset, convert them into analysable formats, and visualise them. The next three days expand on this foundation by talking about network modelling itself, going through the different options for analytical approaches and linking them with hypothesis testing. There will be several opportunities to introduce and use your own data, and therefore to develop plans for carrying out your own analyses. The course will be very interactive and will come with code, with a combination of quick quizzes, supervised sessions, independent hands-on sessions, and brief group discussions. Those thinking of taking this course should have a minimum of intermediate familiarity with statistical analysis (linear modelling, etc), as well as aptitude with the R coding language and the tidyverse. Beginners with R and those unfamiliar or uncomfortable with data manipulation are discouraged from attending, as this may impede your ability to make the most of the course. For more information about our courses and Workshops, please have a look at: [ https://www.physalia-courses.org/courses-workshops/ ]( https://www.physalia-courses.org/courses-workshops/ ) Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info at physalia-courses.org mobile: +49 17645230846 Follow us on [ Twitter ]( https://twitter.com/Physacourses ) & [ Mastodon ]( https://mas.to/@PhysaliaCourses )
Network analysis in R course
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