NOTE: For teams or individuals that are using R or Python, the Statistics Club will offer help in debugging code throughut the duration of competition within the main zoom room. UDAC is designed such that students gain a better understanding of data visualization and modeling - this way, those less experienced with either of these programming languages are free to ask for help on debugging.
Below are a list of compiled resources from last year's competition and additional resources uploaded by the Statistics Club board:
https://sites.google.com/umn.edu/udac2020/resource/classification
https://sites.google.com/umn.edu/udac2020/resource/data-visualization
LATIS is a research group that works out of the University. A large part of the work LATIS does is to support and equip researchers in the social sciences with tools to use programs to analyze data. Their workshops include a variety of technologies and topics, including beginning and advanced R. The video on this page is about data wrangling in R, but there are various other topics of interest found on their site. Here is the link to LATIS's workshops series resource pages: https://osf.io/v83qm/
Citation: Hofelich Mohr, A. (2019, December 6). Data Wrangling with R. Retrieved from osf.io/g59v3
Need to brush up on some statistical skills? Check out IPUM's data training exercises. Each exercise may be perfomed with a variety of statistical packages, such as R, Excel, SAS, SPSS, etc. Here is the link to the site: https://ipums.org/support/exercises