Free Workshops & Events, Winter 2025

We’re excited to share our lineup of workshops and events for Winter Term 2025! Whether you’re eager to learn new skills, connect with fellow data lovers, or explore cutting-edge topics like data ethics, we’ve got something for everyone.

Interactive Workshops

Introduction to R
This eight-session workshop will introduce you to the fundamentals of using R!
Twice weekly starting Monday, January 13, 2025

Introduction to Python
This ten-session hybrid workshop will introduce you to the fundamentals of programming in Python through interactive programming exercises.
Twice weekly starting Monday, January 13, 2025

Wrangling Data with Python in Pandas
Develop the skills to clean, analyze, and visualize tabular data with the popular package Pandas through hands-on exercises with real data in Python.
Twice weekly starting Monday, February 24, 2025.

Research Tools & Professional Development

Introduction to Zotero
Join our research librarian colleagues for a one-hour workshop where you’ll learn to navigate Zotero, a free, open-source citation management tool designed to simplify your research process.
Thursday, January 16, 2025

GitHub Portfolios for Job Seekers
Learn how to create a free digital portfolio on GitHub to highlight your coding and career readiness skills for future employers & open-source projects.
Wednesday, January 29, 2025

Introduction to High Performance-Computing
These free, interactive workshops will introduce UNIX commands, bash scripting, file management, OnDemand, Slurm, JupyterLab integration, and other best practices for working on Talapas, UO’s high performance computing cluster.
Starts Tuesday, February 4, 2025

Introduction to Qualtrics
This workshop will introduce you to the fundamentals of online data collection, walk you through setting up your first project in Qualtrics, and guide you on what to do with the data you gather.
Wednesday, February 19, 2025

Community Learning Opportunities & Peer Connections

Coffee + Data & Code Sessions 

Coffee + Data && Code is a casual event that brings together curious minds to explore interesting projects and questions in the world of data analysis and statistics at UO. Each session features a talk or conversation on research, a project, or a topic in the data world.

January 10th: Hannah Waight on AI and State Propaganda
Sociology Professor Hannah Waight will be giving a talk on the influence of propaganda on large language models (LLMs) in the context of Chinese state media. Her research suggests there may be strategic incentives for states and other actors to increase the prevalence of propaganda in the future as generative AI becomes more ubiquitous.

January 24th: Sheldon Sandbekkhaug on Software Engineering for New Graduates
Google Staff Software Sheldon Sandbekkhaug will lead a casual chat about what’s he learned about software engineering from his nine years at Google and his advice for undergraduates entering the profession.

Coding Circles 
Have a tangle in your coding project? Want to chat about programming projects in a casual environment? Come to coding circle to work it out over snacks.  

Book Club: The Promise of Access

Join us this winter in reading and discussing The Promise of Access. This book examines the paradoxical relationship between digital technology and economic inequality. Drawing on ethnographic research, it explores how institutions like schools, libraries, and startups perpetuate the dream of technological empowerment while ignoring the systemic issues that sustain inequality.

Ready to Join Us?

Whether you’re taking your first steps in data science or advancing your expertise, these events offer valuable opportunities to:
– Develop practical skills
– Connect with fellow data enthusiasts
– Engage with cutting-edge topics
– Build your professional network

👉 View all events and register here!

We can’t wait to learn and grow with you this winter!

Best,
The Data Services Team

Fall 2024 Data Services Workshops and Events

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.

Python Bootcamp

R Bootcamp

Weekday Workshops

Introduction to Python

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

Introduction to R

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.

Introduction to Qualtrics

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. 

Wrangling Data with Python

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.

Coffee + Data && Code

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.

Coding Circle

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.

Spring Data Services Workshops and Events 

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 13th, 10:00am to 4:30pm 

R April 13th, 10:00am to 4:30pm 

Weekday Workshops

Command Line Essentials April 12th, 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 8th, 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 9th, 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 13th and May 15th, 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 13th, 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 12th, 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 19th, 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 26th, 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. 

Oregon Data Science Collaborative Community Symposium

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 7th, 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.

New Peer Consultant Job Opening!

Image is of a large dataset being dislplayed in the Price Science Library's Visualization Lab, which is a series of 16 high definition screens. Two people are looking at the screen, and appear as silhouettes/backlit.

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.