Introducing the Data Services Team: Meet Hunter Wright, Quantitative Peer Consultant

This is a continuation of a series of posts introducing the Data Services team!

Peer Consultants meet with students, lead workshops, and bring energy and inspiration to our work. Quantitative Peer Consultant Hunter Wright is a junior majoring in Economics. His interests include data visualization, data analysis, and the programming language R. Hunter can assist you with R programming, regression analysis, and other statistics problems.

Introducing the Data Services Team: Meet William Grossman, Quantitative Peer Consultant

Welcome back to another post in our series introducing the Data Services team!

Peer Consultants meet with students, lead workshops, and bring energy and inspiration to our work. Quantitative Peer Consultant William Grossman is a graduate student in the Economics program. William can assist you with R programming, data visualization, and regression analysis.

Introducing the Data Services Team: Meet Fedi Aniefuna, Quantitative Peer Consultant

Welcome to a series of posts introducing the Data Services team!

Peer Consultants meet with students, lead workshops, and bring energy and inspiration to our work. Quantitative Peer Consultant Fedi Aniefuna is a senior double majoring in Math and Computer Science. After graduation, he will be starting a job with Amazon as a Systems Developer Engineer. Fedi can assist you with Python programming, data cleaning, troubleshooting, git/GitHub, command line, and working with files and directories.

3 Great Events Happening This Weekend @ Data Services

We are writing to remind you about a few events happening at Data Services this weekend! 

If you have been meaning to sign up, now is your chance!

Our Bi-weekly Book Club kicked off today with our first conversation on The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century. In this four-part series, we are discussing how statistics changed from a specialized niche into an indispensable tool across many disciplines. This book is not a dry history or facts and figures, but a deep dive into the stories of individuals who dared to look at the world in a new way.

Haven’t started reading yet? No problem! We would be delighted if you would join our discussion even if you haven’t read the book. Register to join us at 1:00 pm in person in the Knight Library DREAM Lab or online via zoom. We had a rich discussion today, and would love for you to join us for future sessions.

One Day Workshops for R and Python will be happening this Saturday, October 4, from 10:00 am to 5:00 pm. These workshops are a great opportunity to lay a foundation of skills in a single day so you can get spend the rest of the term using your new abilities! We also want to let you know that both workshops will have free childcare services in the building. Don’t let the little ones hold you back from attending – we’ve got you covered!

The Plotting and Programming in Python workshop will cover introductory topics such as variables, data types, data frames, and plotting. If time allows we will continue on to lists, for loops, conditionals, and writing basic functions. Introduction to R will cover data analysis and visualization using tidyverse methods. It includes an introduction to data structures, data frames, plotting and filtering. 

If you have been looking for a chance to jump into Python or R, but aren’t able to join us for our weekly workshops, Reserve Your Spot Here to join us this Saturday in-person or online!

We hope to see you there!

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.