Author: Gabriele Hayden

Spring is here and there are exciting new offerings at Data Services! For those who want to learn programming fast, we’re offering a command line workshop and boot camp-style intensives for Python and R at the introductory level. If you want a more relaxed and thorough approach with similar material, we have biweekly Python and R courses, as well as shorter workshops on Qualtrics, Git, and Pandas. 

As always, we offer consultations for statistical methods, data management, R, SPSS, Python, GIS, version control, Excel, Dedoose, and Qualtrics at our help desk Monday – Friday 11am – 4pm in the DREAM Lab and or by appointment. Want to meet others interested in data science? Drop by Coffee & Code for short talks, the Coding Circle to work on coding projects over snacks, or join our Data Book Club. 

Check out our full calendar below! 

Workshops

One-Day Programming Boot Camps 

These all-day workshops will introduce you to the fundamentals of Python and R respectively. Come in over the weekend, come out with a new skill. Lunch will be provided. 

Python April 13^th, 10:00am to 4:30pm 

R April 13^th, 10:00am to 4:30pm 

Weekday Workshops

Command Line Essentials April 12^th, 2:30pm to 4:00pm 

Learning to code? This workshop teaches the fundamentals of command line interfaces, filesystem navigation, and scripting in Bash. These are key skills for aspiring programmers. 

Introduction to Python Mondays and Wednesdays, begins April 8^th, 1:00pm to 2:00pm 

A ten-session, interactive course that will help you develop core Python programming skills. No experience required!  

Introduction to R Tuesdays and Thursdays, begins April 9^th, 12:00pm to 1:00pm 

This eight-session course will introduce you to the fundamentals of using R! Intended for absolute beginners or anyone wanting to review the basics. 

Introduction to Qualtrics May 13^th and May 15^th, 12:00pm to 1:30pm 

If you are 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. 

Python Data Science Fundamentals Mondays and Wednesdays, begins May 13^th, 1:00pm to 3:00pm 

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. 

Events

Data Bookclub: The Cultural Logic of Computation Alternate Fridays, begins April 12^th, 1:00pm to 2:00pm 

Join us as we discuss the effects of computers on society as we read The Cultural Logic of Computation by David Golumbia. 

Coffee + Data && Code Alternate Fridays, begins April 19^th, 1:00pm to 2:00pm 

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.  

Coding Circle Weekly, begins April 26^th, 2:00pm to 4:00pm 

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.  

Questions about our offerings? Reach out to us at DataServices@uoregon.edu. 

Our colleagues at the Oregon Data Science Collaborative (ODSC) are hosting a full day data science symposium!

This workshop and networking event will bring together scientists from across Oregon to learn about data science research and resources, network with potential colleagues, and help inform our efforts to build community and offer training and consulting services to promote data science across Oregon.  Share your data science research, ideas, and proposals, learn how you can get help with research projects, participate in brainstorming sessions, and connect with data scientists. 

Register using this link

May 7^th, 2024, 10:00 – 3:00

9:30-10:00 Welcome with coffee and light snacks
10:00-12:00 Morning session (Invited talks)
12:00-1:00 Lunch break and networking
1:00-2:00 Student flash talks
2:00-3:00 Panel discussion on careers in data science
3:00-5:00 Optional social gathering (location: TBD)

Portland State University, Smith Memorial Student Union (SMSU) 327/328
1825 SW Broadway, Portland, OR 97201

Sign up for the ODSC slack to stay connected: ODSC SLACK 

The Oregon Data Science Collaborative (ODSC) is an NSF-funded collaborative institute between Oregon State University, the University of Oregon, and Portland State University. Our goal is to advance research across disciplines by facilitating collaboration between researchers and data scientists and by building a community of practice to disseminate familiarity, expertise, and training in data science. We offer data science workshops and research consulting for researchers across Oregon and the wider scientific community.

Hello UO Students,

The Data Services Department at The University of Oregon Libraries has a job opening for one more student peer consultants for the 2023-4 academic year. Our mission is to provide a welcoming environment for learning and intellectual exchange for our fellow Duck researchers. The ideal candidate enjoys working with data and helping others learn more about data analysis, statistics, programming, data visualization, and other exciting issues dealing with data! The student peer consultant will help fellow ducks through statistical consultations on data questions and assist with workshops on subjects ranging from computer programming to research reference management.

Please follow the link below for the full job description on Handshake.

Please join us on Friday, November 19, 2021, 3:00pm to 5:00pm to celebrate and recognize the Percent for Art sculpture recently installed in the Price Science Commons. Sculptor Lee Imonen will discuss his vision and creative process for the work titled, “1116 Pages”.

In addition, we will explore the recently completed technology refresh of the Visualization Lab now equipped with three new 87-inch screens and an enhanced computerized display wall.

This event is free and open to the public. Accommodations for people with disabilities will be provided if requested in advance by calling 541-346-3056, or email libadmin@uoregon.edu.