Library Workshops offered for the month of February

Please visit the Library events calendar and sign up for a Library workshop today. Courses are geared to every level of experience, to beginners as well as seasoned researchers. Take advantage of information that can make your research extraordinary.

At the beginning of each mother the Library will post about the workshops offered during that month, so check back, and visit the Library’s Facebook page every Monday to see the workshops being offered for that week.

Workshops being offered in February:

Intro to QGIS—Hands-on introduction to QGIS, a widely used open source Geographic Information Systems program.

Raspberry Pi—Learn the basics of using your Raspberry Pi to control electronic circuits. No experience with electronics or Raspberry Pi required for this workshop.

(Exploratory) Data Visualization in R—Learn how to effectively use the ggplot2 package to explore and visualize data in R. This workshop assumes basic experience using R at the level of our Intro to R workshop and familiarity with the dplyr package.

Introduction to Data Visualization with Tableau Part 1—Basic principles and processes of good data visualization. And we’ll introduce Tableau Public as a tool to make beautiful and interactive data visualizations using hands-on examples.

Organizing Your Research with Zotero—Capture, organize, search and share your research materials. Zotero can also interface with your word processing software, allowing you to drop footnotes, citations, and bibliographies into your written work, all with just a few clicks.

Introduction to Zotero—Keep track of citations while you search, create citations while you write, generate a formatted bibliography, and organize references and information.

Linear Modeling in R—Hands-on examples will involve interpretation of model output and checking model assumptions. Explore dummy variables, interactions, and variable transformations. This workshop assumes basic experience using R and familiarity with the tidyverse libraries.

Introduction to Data Visualization with Tableau Part 2—We’ll continue to work within Tableau to create beautiful and interactive data visualizations. We’ll review a variety of visualization approaches and chart types. We’ll work through a variety of hands-on examples, so bring your laptops.

Literature Reviews in the Humanities: Joining the Scholarly Conversation—Develop strategies for finding, evaluating, and organizing sources for your literature review.

Introduction to Python—Fundamentals of Python, a popular general purpose, high level programming language.

Census Basics—Learn about the available Census surveys (there’s more than one!), talk about the strengths and limitations of each, and understand what types of questions each can best address.

Planning a Capstone Project—Do you have a thesis or capstone requirement for your degree program? In 30 minutes, we’ll show you how to begin planning your research, with recommendations for resource types and suggestions to get your project efficiently underway.

Best Database For You—This 15-minute workshop will put you on the right track of finding the database that’s best for your research. You’ll leave with several recommendations as well as contact information for the subject librarian who can best help with your project.

Advanced Zotero—Advanced features in Zotero, an open source tool citation management tool. This workshop assumes you have Zotero installed and are familiar with importing citations/documents and creating simple bibliographies.

Visualizing Models, Communicating Results in R—In this workshop we introduce approaches to visualizing models in R to help explain how they work, what they mean and how certain we can be of their predictions. This workshop assumes experience with R and linear modeling.

Introduction to LaTeX/Overleaf—LaTeX is a powerful (and free) document typesetting program. The Library has recently provided access to an on-line collaborative LaTeX editor, Overleaf. In this hands-on workshop, we’ll learn how to take full advantage of this powerful tool, so bring a laptop.

Data in Excel—Learn about using Excel for data preparation, analysis, and visualization. This hands-on session will cover the basics of Excel, from entering data, exploring data, generating new variables with formulas, creating charts and graphs, and aggregating and summarizing data with pivot tables.

Arduino—Go through the very basics of electricity, how to setup the Arduino, and building a first circuit; an LED nightlight.

Data Preparation in Python—Learn about data preparation using Python3 and pandas. We’ll also cover working with data types like factors and dates and using conditional logic. This workshop assumes basic experience using Python3 at the level of our Intro to Python workshop.

Finding Foreign Language News Sources—In this workshop, we’ll cover the basics of finding foreign news in databases like Factiva, Lexis-Nexis, and Access World News in both English and vernacular languages. No experience required.

Interactive Web Apps in R with shiny—You don’t have to be a web developer to create web applications in R! And thanks to RStudio, these applications can be run locally on your computer or shared with colleagues or students as R scripts. This workshop assumes experience with R and linear modeling at the level of our Linear Modeling in R and Visualizing Models workshops.

Intoduction to Git and GitHub/GitLab—How to fork a repository on GitHub/GitLab to your account, clone the repository to your local machine, and point it to the source repository. We’ll practice GitHub/GitLab workflows like fetching and merging changes from the source, making changes and commits locally, pushing to GitHub/GitLab, and making pull requests. The use of GitHub and GitLab both require user accounts so please set yours up before the workshop at github.com and gitlab.com

Machine Learning in Python—Fundamentals of machine learning using the python package scikit-learn. The session will be hands on, so bring your laptops. This workshop assumes basic experience working with data in Python at the level of our Introduction to Python or Data Preparation in Python workshops.

Information Design for Impact—Learn about the value of graphic design for presenting information effectively and memorably—balance, color, texture and how they intersect with perception and cognition. Finally, we’ll talk about design workflows and introduce useful resources.

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