Introduction to R for Reproducible Scientific Analysis (Part 2)

Thursday, Nov. 19, 12:30-3:30 p.m.

Online

This hands-on, beginner level series covers the fundamentals of R, including data types, functions, importing, manipulating and analyzing data as well as program design, data management, and task automation. Participants are encouraged to help one another and to apply what they have learned to their own research problems. The goal is to teach the practical knowledge needed to start programming, debugging and using R in everyday tasks.

You do not need any previous knowledge of the tools that are presented, or previous programming experience, but intermediate level experience with a computer is highly recommended.

You do need to have a laptop with a Mac, Linux or Windows operating system (not a tablet, Chromebook, etc) on which you have administrative privileges, as you need to pre-load specific software packages.

Presented by ACENET

Event Listing 2026-11-19 12:30:00 2026-11-19 15:30:00 America/St_Johns Introduction to R for Reproducible Scientific Analysis (Part 2) This hands-on, beginner level series covers the fundamentals of R, including data types, functions, importing, manipulating and analyzing data as well as program design, data management, and task automation. Participants are encouraged to help one another and to apply what they have learned to their own research problems. The goal is to teach the practical knowledge needed to start programming, debugging and using R in everyday tasks. You do not need any previous knowledge of the tools that are presented, or previous programming experience, but intermediate level experience with a computer is highly recommended. You do need to have a laptop with a Mac, Linux or Windows operating system (not a tablet, Chromebook, etc) on which you have administrative privileges, as you need to pre-load specific software packages. Register here Online ACENET