Dear all, We are pleased to announce the upcoming online course: Efficient Data Analysis with data.table in R Date: 3 September 2025 Time: 10:00 AM – 1:00 PM (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 tutorial will introduce participants to the fundamentals of data.table through live coding sessions and practical exercises. Participants will learn how to integrate data.table into a typical data analysis workflow—from data import and exploration to transformation and export. The course also serves as an introduction to more advanced data.table features, such as special symbols and combined operations. By the end of the course, participants will be able to:
Efficiently read and write data using fread() and fwrite() Understand and apply the core syntax of data.table Perform fast row subsetting and column operations Use data.table for data exploration, transformation, and summarization Begin exploring more advanced functionalities such as special symbols and combined operations 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
