We are thrilled to share a packed events calendar for Data Services with all the events you need to start this year off right!
Help Desk and Consultations
The Data Services Help Desk is available 11am – 4pm in the DREAM Lab on weekdays. We offer drop-in support for statistics, data analysis, R, and Python.
Looking for help on specialized topics like data management, statistics, or Talapas? You can schedule a 30-minute appointment for your topic in-person or online. We are happy to work with anyone in the UO community one-on-one or in a small group to tackle your challenges.
Have a question for a High Performance Computing admin? Our colleagues in Research Advanced Computing Services (RACS) will be hosting drop-in office hours in 112C in the DREAM Lab, 1pm – 3pm on Wednesdays.
Workshops
One-Day Programming Bootcamps: Saturday, Oct 12
These all-day workshops will introduce you to the fundamentals of Python or R. Come in over the weekend, come out with a new programming language! Light lunch will be provided.
Weekday Workshops
A ten-session, interactive course that will help you develop core Python programming skills. No experience required!
This eight-session course will introduce you to the fundamentals of using R! Intended for absolute beginners or anyone wanting to review the basics.
A Gentle Introduction to Git and GitHub
Version control demystified! Learn how to create repositories, commit changes, examine file history, navigate branches, and publish to GitHub.
If you’re conducting surveys, then you want to learn all about Qualtrics! This workshop will introduce the basics of online data collection, setting up projects, and exporting survey data.
Already taken our Python course? This four-part workshop will teach you to analyze and visualize tabular data in Python by working through hands-on exercises with real data.
Friday Social Events
Data Bookclub: Data Cartels by Sarah Lamdan
Join as we and discuss this book on the fascinating world of data monopolies and the hidden power dynamics that are shaping our world.
An informal space for presentations and conversations about topics in data science! Learn new tips and tricks and get to know other people interested in coding over coffee and snacks.
Have a tangle in your coding project? Come to coding circle to work it out! An informal and inclusive co-working session for anyone working with data or code.
Have any questions about our offerings? Reach out to us at DataServices@uoregon.edu.