In summary, this course is a shortcut to learning R quickly but effectively. Though most content is designed and presented from my own perspective as an ecologist, all course content is also applicable to most related fields.
What this course does not cover: To cover the basics of R in an effective way, I cannot cover everything. So this course does not cover:
I believe that these topics are relatively easy to branch into once your foundation with the basics is in place and I plan to expand into these and other topics in future courses.
A few comments from an anonymous survey about this course:
The way this course is organized lets me feel good about learning it. Everything is extremely well explained and helpful. I couldn’t be happier
I am very happy. I find the explanations clear, the pace of the course is appropriate, and the way the instructor goes topic by topic is very understandable.
I started with no knowledge about R, and now I feel like an expert on it :-). thank you.
I like that it can be done at our own pace and that you walk us through the example problems.
I liked many things till here. First, it starts from the very basics of R. Second, it is detailed and use of every command is explained well. Third, it is self paced, thus user friendly.
Thorough explanations - the instructor never takes it for granted that we will know even the simplest steps, always explains in detail :)
I like that it starts from the ground up, so that no individual concept feels too complex, or out of reach. It helps get the learner over that wall of entry. I also like how the tools are introduced in a way that becomes applicable to personal data.
Luka is perfect for teaching a course on R for budding ecologists—he has a strong theoretical background in ecology, numerous experiences in field- and greenhouse-based studies, a knack for data analyses, and a life-long passion to teach. I highly recommend The Basics of R for Ecologists to undergraduate and graduate students involved in ecological research."
Dr. Nishanta Rajakaruna, Professor in Plant Biology, CalPoly State University
The course is a completely self-paced online course, so you decide when you start and when you finish.
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own!
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
Yes, absolutely! Everyone that completes this course will receive an official certificate of completion.
Yes! Though the course is based on my own experiences of using R for ecology, all of the course content will be applicable and relevant for most other fields in biology if not many fields even outside the sciences. The course also uses ecological datasets, but the principles are mostly universal.
Nope! Although the course is taught using a Mac, the content and features in R and R Studio are universal between the two operating systems and I mention anytime there is a difference between the two.
That’s fine! This course is designed as the first step for anyone interested in learning how to use R and the course content does not assume any prerequisites.
Yes! All videos are captioned with english subtitles that meet accessibility standards.
I received my PhD in Biology from Syracuse University in 2018 where I specialized in analyzing ecological data using R. I love teaching and have mentored countless students and scientists in everything from experimental design to using R for creating figures for their publication. I present this school as my way of helping the next generation of grad students in ecology, as well as promoting data and science literacy.