Training Opportunities

Introduction to R for Reproducible Science (UI) - Feb 27 & 28

When:

Location: University of Idaho

Workshop dates: Thursday and Friday, February 27-28, 9 a.m. – 5 p.m.

Instructors: Lihong Zhao and Amanda Culley
                     lihong@uidaho.edu

Description: This introductory course will showcase reproducible research through simple analysis examples. The goal is to teach novice programmers to write modular code and best practices for using R for data analysis. This 2-day hands-on short course will give participants a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching basic programming in R, and will not teach statistical analysis. No prior knowledge of R or RStudio is needed. More details can be found at https://dearmint.github.io/2020-02-27-uidaho/.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). Please ensure you have the latest version of R and RStudio installed on your machine.

The workshop has reached maximum enrollment capacity and REGISTRATION IS NO LONGER AVAILABLE.  Click on the link to join the waitlist.  

[Externally funded]  

IMCI: Data Carpentry - Geospatial Analysis Workshop - Mar 26 & 27

When:

Location: University of Idaho

Workshop dates: Thursday and Friday, March 26-27, 9 a.m. – 5 p.m.

Instructors: Erich Seamon and Travis Seaborn
                     erichs@uidaho.edu

Description: This hands-on workshop will focus on managing and understanding spatial data formats, understanding coordinate reference systems, and working with raster and vector data in R for analysis and visualization. An introductory knowledge to R is helpful, but not required. Participants will be encouraged to help one another and to apply what they have learned to their own research problems, and will be aimed towards graduate students and other researchers.

Attendees must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. More details can be found at https://erichseamon.github.io/2020-03-26-uidaho-geospatial

This workshop has reached maximum enrollment capacity and REGISTRATION IS NO LONGER AVAILABLE. Click on the link to join the waitlist.

[Externally funded]