Dear all, Only a few seats remain for our upcoming online course: Efficient Data Analysis with data.table in R Date: 3 September Time: 10:00–13:00 (Berlin time) Course website: [ https://www.physalia-courses.org/courses-workshops/data-table/ ]( https://www.physalia-courses.org/courses-workshops/data-table/ ) This hands-on course introduces data.table, one of R’s fastest and most powerful packages for data manipulation. You'll learn how to efficiently import, transform, and summarize large datasets using optimized syntax and workflows. Key topics include:
Fast data import/export with fread() and fwrite() Core data.table syntax Row subsetting and column operations Data exploration and transformation Advanced tools like .N, .SD, .I, and more Prerequisites: Basic R knowledge — no prior data.table experience required. Best regards,Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
