Hello again from Portland, Well, I had so many people ask me for the responses, that I figured it would be easier to just respond to the group directly. Apologies if you're not interested.
First, I've listed the information on actual courses that were suggested with some detail. At the end are a list of online links to courses or tutorials that were recommended. ------------------------ John Long offered a course he is teaching online via Montana State University: *LRES 534 - Environmental Data Analysis. * "The course is offered every semester. It is synchronous with the standard MSU calendar (9 Jan - 3 May) - so, not individually paced. The course is a data analysis course designed for those in environmental science. There are no prerequisites in terms of statistical background or R familiarity. The course teaches R in context." The course is part of the MS online program in Land Resources and Environmental Sciences. ------------------- A U Mich Flint graduate student recommended an online summer course through Michigan State University as a great introductory R class. It's listed as F*OR 875: R Programming for Data Science*, the instructor is fantastic! -------------------- https://www.canr.msu.edu/qfc/education/r-fundamentals-for-research *R Fundamentals for Research* is an inexpensive, but not free, course offered by Michigan State University. Asynchronous, non-credit, self-paced, 6 months to complete. Designed for beginners. The syllabus is available on the website. ------------- One scientist recommended Software and Data Carpentry https://carpentries.org/ "Depending on what you are looking for Software and Data Carpentry has all their lesson plans online geared towards scientists/researchers and you can walk through it at your own pace https://carpentries.org/ I can recommend their R lessons and you probably want to pair that with their command line lesson. People will frequently also take their git lesson on version control and I think their spreadsheet lesson is an under appreciated gem." --------------- This course offered online through Harvard/EdX: https://online-learning.harvard.edu/course /data-analysis-life-sciences-1-statistics-and-r-0 $99 if you want the certificate, free if you don't -------------------- A few people suggested online tutorials/programs, including: https://www.datacamp.com/courses/free-introduction-to-r https://www.uvm.edu/rsenr/vtcfwru/R/?Page=fledglings/fledglings.htm http://environmentalcomputing.net/ http://datacarpentry.org/semester-biology/START-for-self-guided-students/ I checked out the uvm.edu site, and the environmentalcomputing.net site, both of which look fantastically useful, so do yourself a favor and bookmark them even if you decide to use a course as well. -------------- Lastly, a couple of people listed Ben Bolker's "Ecological models and data in R" and the super-intro "Getting started with R" as resources they had used, and I'm sure there are others as well. There was also a course being hosted in Berlin in May 2019 posted to the listserve before my message: https://www.physalia-courses.org/courses -workshops/course45/ People also mentioned programs at Coursera, and EdX, but didn't include specifics. Separately, for educators: The textbook, *Ecology in Action, by Fred Singer*, comes with a complete R course, using ecological data as examples. Published by Cambridge University Press. Contact: dle...@cambridge.org or freddydsin...@gmail.com for more information (Thanks for Dr Singer for the info.) OK - I hope this helps many of you, and your students. Happy New Year to us all, Rebecca Shell, Ph.D. benthic invertebrate community ecologist she/her/hers newly in Portland, OR, (and on the job market. Email me!)
