Dear all, only a few seats are left for the online course "Efficient Data Analysis with data.table in R" (3 September). data.table is one of the most powerful and efficient R packages for fast, memory-friendly data manipulation. This hands-on tutorial will cover:
Reading large datasets with fread() and writing results with fwrite() Core data.table syntax and structure Fast row subsetting and column operations Data exploration, transformation, and summarization Advanced features such as .N, .SD, and .I Format: Live coding demonstrations, practical exercises, and real-world workflows. Prerequisites: Basic familiarity with R and RStudio (no prior data.table experience required). More information & registration:[ https://www.physalia-courses.org/courses-workshops/data-table/ ]( https://www.physalia-courses.org/courses-workshops/data-table/ ) Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR i...@physalia-courses.org 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-Epi@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-epi
