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!
Hey Everyone!
Data Services is happy to announce our Winter 2023 workshops schedule.
This term, we are offering workshops on R, Python, using Zotero to manage your citations, and more.
Introduction to Python (In-person & on Zoom)
This eight-session workshop will introduce you to the fundamentals of programming in Python. This course is intended for absolute beginners or anyone wanting to review the basics. This series lays the foundation for attendees to understand Python code and begin writing scripts that apply to their work. We have scheduled an hour and a half per session in order to allow for questions, but most sessions will last about an hour.
1. Setup & Python Fundemanetals
2. Analyzing Data With Python
3. Visualizing Data with Python
4. Lists and Loops in Python
5. If, Else, and Functions in Python
6. Troubleshooting and testing
7. Debugging
8. Make your life easy with Python on the command-line
The workshop series follows this Software Carpentries workshop curriculum.
Introduction to R (In-person & on Zoom)
This six-session workshop will introduce you to the fundamentals of using R! This course is intended for absolute beginners or anyone wanting to review the basics. Each session will be an hour and a half per and follow the schedule below.
1. Intro to R and Rstudio (January 17th)
2. Getting started with R Part 1 (January 19th)
3. Getting started with R Part 2 (January 24th)
4. Data visualization with R & ggplot (January 26th)
5. Functions Explained (January 31st)
6. Working with Data in R part 1 (February 2nd)
7. Working with Data in R part 2 (February 7th)
8. Reproducible reports with R & Rmarkdown (February 9th)
The workshop series follows this Carpentries workshop curriculum.
Zotero is a free citation manager that allows you to save citation information while searching and browsing databases. Zotero makes it easy to save citations and enables you to create customized bibliographies in standard citation styles, including MLA, Chicago and APA. This workshop will introduce some of the key functions of Zotero such as: installing Zotero, adding citations to your Zotero library, organizing and managing your citations, creating a bibliography, and using the Microsoft Word plug-in to easily insert citations from Zotero into your documents.
Participants are encouraged to bring their personal computers so that they may download and interact with the program. This is a hybrid workshop and will not be recorded.
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:
R for Absolute Beginners: An Orientation (In-person & on Zoom)
Friday, September 30, 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 make sure you’re prepared? This 2-hour hybrid workshop will be a basic orientation to what R is 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.
Introduction to R (In-person & on Zoom)
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. 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.
Introduction to Python (In-person & on Zoom)
This four-session workshop will introduce you to the fundamentals of programming in Python. This course is intended for absolute beginners or anyone wanting to review the basics. This series lays the foundation for attendees to understand Python code and begin writing scripts that apply to their work. We have scheduled two hours per session in order to allow for questions, but most sessions will last about an hour.
1. Setup & Python Fundamentals (1:30pm – 3:30pm, Tuesday, October 25)
2. Libraries & Functions (1:30pm – 3:30pm, Thursday, October 27)
3. Analyzing Data with Python (1:30pm – 3:30pm, Tuesday, November 1)
4. Visualizing Data with Python (1:30pm – 3:30pm, Thursday, November 3)
The workshop series follows this Software Carpentries workshop curriculum.
Introduction to R (In-person & on Zoom)
Are you interested in using R and RStudio but unsure where to start? This workshop is for you!
This six-session workshop will introduce you to the fundamentals of using R! This course is intended for absolute beginners or anyone wanting to review the basics. Each session will be an hour and a half per and follow the schedule below.
1. Intro to R and Rstudio (2:00pm – 4:00pm, Wednesday, October 12th)
2. Getting started with R (2:00pm – 4:00pm, Friday, October 14th)
3. Data visualization with R & ggplot (2:00pm – 4:00pm, Wednesday, October 19th)
4. Working with Data in R part 1 (2:00pm – 4:00pm, Friday, October 21st)
5. Working with Data in R part 2 (2:00pm – 4:00pm, Wednesday, October 26th)
6. Reproducible reports with R & Rmarkdown (2:00pm – 4:00pm, Friday, October 28th)
The workshop series follows this Carpentries workshop curriculum.
