Data Services at University of Oregon Libraries
Hey everyone!
At Coffee + Code this Friday (2/10) at noon, Gabriele will introduce folks to the Women in Data Science (WiDS) Datathon sample code books. We’ll sign into and download the Kaggle data and explore one of the sample workbooks (in this resources link) that uses Python packages to do predictive analysis.
As always, free coffee and cookies for those joining us in the Knight Library DREAM Lab.
Best,
Data Services
Are you passionate about data and programming? Do you want to help others learn the skills they need to work with data effectively? If so, we have an exciting opportunity for you!
We are seeking a Limited Duration Workshop Coordinator to assist with workshops on learning R, Python, and working with data. As a Workshop Coordinator, you will be responsible for planning, organizing, and implementing workshops and training sessions for students, faculty, and staff. You will work closely with other team members to ensure that the workshops are engaging, informative, and meet the needs of the attendees.
Key responsibilities for this role include:
This is an excellent opportunity to expand your skills while helping others learn. If you are interested in this exciting opportunity, please apply ASAP by visiting the following link. Please share this with anyone that might be interested in this exciting opportunity!
Are you curious about how our relationship with data and technology has evolved? Our book club is excited to announce our next selection: “How We Became Our Data: A Genealogy of the Informational Person” (e-book is available at this link). by Colin Koopman, Head of Philosophy & Director of New Media & Culture Certificate Program at the University of Oregon.
In this book, Koopman traces the historical development of data and information as they relate to individuals and how this has led to the current state of the “informational person.” He examines the ways in which data and information have been used to classify, quantify, and measure individuals and groups and explores the political and social implications of these developments.
This book is perfect for anyone interested in the history and philosophy of technology and data, as well as those concerned with privacy and the implications of the growing power of data in our lives.
This is an opportunity for anyone interested in learning more about the history and evolution of data and technology and to be part of a community of like-minded individuals passionate about this topic. Whether you’re an expert in the field or just starting your data journey, all are welcome to join.
Even if you haven’t had a chance to read the book yet, you’re still welcome to join our discussions. We will meet every other week in the Knight Library DREAM lab to discuss the book, and our meetings will be held both in-person and online. If you’re interested in joining our book club, please sign up by filling out this form (REGISTER HERE) We’ll send out an email with the schedule and more details soon after. We’re looking forward to exploring this fascinating topic with you!
Professor Koopman writes that summaries of parts of the book are available elsewhere in:
Hi Everyone,
We have added several Python and R workshops to the Library Calendar. Please share these with anyone that you know who might be interested.
We will be announcing more workshops for Fall 2022 soon!
Python for Absolute Beginners: An Orientation
Thursday September 22nd 1:00pm-3:00pm
Have you heard of Python but aren’t sure if it’s for you? Are you attending the all-day workshop on Friday and want to ensure you’re prepared? This 2-hour hybrid workshop will be a basic orientation to Python and how you interact with it. We will also review how to navigate files on your computer from within a programming environment.
Friday September 23rd 10:00am – 5:00pm
This workshop will introduce you to the fundamentals of programming in Python. Intended for absolute beginners or anyone wanting to review the basics, this workshop lays the foundation to understand Python code and begin writing scripts that apply to your work.
The workshop follows the Software Carpentries workshop curriculum Plotting and Programming in Python and will cover introductory topics such as variables, data types, data frames, plotting, lists, for loops, conditionals, and (if time allows) writing basic functions.
Before the workshop, please install Python 3 in the interface of your choice. We recommend JupyterLab Desktop, available for installation here. If you need help troubleshooting an installation, you can make an appointment with us. The day before, we will also offer a 2-hour orientation to Python, called Python for Absolute Beginners. If all you know about Python is that it sounds like a snake, consider attending.
Friday September 30th 3:00pm – 5:00pm
Have you heard of R but aren’t sure if it’s for you? Are you attending the all-day workshop on Saturday and want to ensure you’re prepared? This 2-hour hybrid workshop will be a basic orientation to R and how you can interact with it using the RStudio interface. We will also review how to navigate files on your computer from within a programming environment.
Saturday, October 1st 10:00am – 5:00pm
Are you interested in using R and RStudio but unsure where to start? This workshop is for you!
This intensive workshop will introduce you to the fundamentals of programming in R, including creating functions, analyzing data sets, reading and writing files, and understanding data types and for loops. The workshop series follows this Carpentries workshop curriculum. Please follow these instructions to install R, RStudio, and files we will use during the workshop; for help troubleshooting installations, set up an appointment with us.
This hybrid workshop will take place in the DREAM Lab, but participants may also join via Zoom.
The UO Libraries’ Statistical Help Desk is available this term Monday – Friday 11 am – 4 pm in the DREAM Lab and by appointment (in person or via Zoom). We offer help with statistics, statistical software like R, SPSS, Python, research design, GIS, git/GitHub, Zotero, and qualitative software such as Dedoose.
This term we will be offering the following workshops and events:
You can view all our workshops and events here.
