Interpreting data obtained during research effectively often requires computational skills that students may not have or feel comfortable using. While resources are plentiful, getting to those resources and interpreting them in a timely manner can be difficult. For graduate students who haven’t had the most experience working with programming and manipulating data sets, or those students perhaps looking to hone their skills, DSEER has collected a variety of helpful resources to take advantage of. Our focus for resources is the implementation of programming and other helpful computational skills in the fields of energy and ecology, but the list also contains more generalized resources that may prove interesting to students not specializing in those students.
The majority of the resources collected are free to use for either students at the University or anyone who wants to use them. Resources that aren’t free to use will state so on their more detailed description that you can access by clicking the tags at the end of each resource’s name that also display the difficulty level of each resources.
The resources have been placed in an expandable accordion that opens up as you decide what resource you want to look at. Using the categories available you can distinguish between the type of resource, i.e. bootcamp vs online video, and then find a resource at the difficulty level you feel comfortable with. For example, using the accordions, you can decide that you want to look at R language resources and then move to the R accordion. After you arrive at the R accordion you may only want to look at beginner course offered at the university, and after expanding UChicago Courses you can find the resources your looking for there.
More resources are soon to be added to the website for those looking for resources outside of the R and Python ones currently available. To start viewing resources click on one of the buttons below.