It’s summer! Catching up on your research? Take advantage of our Statistical Consulting Service targeting graduates and undergraduates to get help with statistics, statistical software like R, SPSS and Python, research design, and GIS.
Or build your skills in R, Python, qualitative research software, git/GitHub, or data management with a free workshop:
A 8-part R programming sequence, Introduction to R, Monday to Thursdays from 12-1:30pm starting July 12th.
A 8-part Python programming sequence, Introduction to Python, Monday to Thursdays from 12-1:30pm starting July 26th.
Dedoose for Research, a 2-hour workshop for absolute beginners, on August the 2nd from 3-5pm.
Introduction to the Github, a 2-hour workshop for on August the 2nd, 3-5pm.
You can find an up-to-date list of our offerings (and sign up to attend) here. Finally, we continue to offer consultations for faculty and staff on research data management, data management plans for grants, cartographic data, and code management for scientific reproducibility. Click below for more.
Skills in data analysis, coding, statistics, and machine learning are increasingly in demand, and are integrated into courses across the University of Oregon’s campus. This means on the one hand that data science skills are being taught everywhere, and on the other hand that you might not notice that a class that meets your needs is available in another department or school at UO. One of the goals of this blog is to give more cross-department visibility to the many opportunities to build your data science skills across campus, and we begin by sharing this list of classes offered in the last few years at UO. Clay Small, Research Assistant Professor and Interim Graduate Program Coordinator for the UO Data Science Initiative, kindly shared an initial list of courses that fit this description, to which we have added a few more. Caveat emptor: this is a list of courses that have been offered in the past; courses change all the time. If you know of other courses that have been left of the list, know that a course is no longer being offered, want to add a link to a course website, or have a new UO data or stats resource to share, please email us at DataServices@uoregon.edu.
Foundational Data Science and Introductory Statistics beyond Stats 243:
Welcome to the official blog of the University of Oregon Libraries Data Services Department. We hope to post at least once a term with recommended resources from the web, more about our services, and how to find classes and other resources for learning about data, statistics, and data science related topics at UO. In the meantime, check out our upcoming workshops, drop in for a statistics or programming consultation, and explore UO’s maps and cartographic resources.
Ever wondered how to do cluster analysis in R? From time to time we post links to data resources we recommend from around the web. We’re starting by recommending this tutorial from R-bloggers, which offers a concise and clear introduction to cluster analysis in R.
