Workshops

We offer training on data analysis, statistics, and computation and on Library resources and methods. In Fall 2019 we’ll be offering multiple series of workshops, including a series in:

All are welcome (and they’re free)! Click on the title to register,  or find the full list of RDS workshops and workshops offered by our colleagues!

Using R Series Using Python Series
Introduction to R Introduction to Python
Designed for the absolute beginner, this workshop provides a gentle introduction to R and RStudio. R is a free, open-source software environment and programming language designed specifically for statistical analysis. RStudio is a free integrated development environment (IDE) that makes using and learning R much easier. In this workshop we’ll get you started using R with RStudio, show you how to import data, do some basic data manipulation, create a few graphics, perform some basic statistical analyses, and point you in the direction to learn more and go further with R! Clay Ford This introductory workshop covers the fundamentals of Python, a popular general purpose, high level programming language. It is the first of a 3 part series. We’ll learn how to get started, the basic grammar of the python programming language, and the basics of writing readable code and running Python scripts. We’ll talk about how to load and use packages and learn about variables and built-in data types. This will be a hands-on experience with exercises throughout and plenty of time to get your hands dirty. Erich Purpur
Tue 9/3 Tue 10/1
10:00-12:00 10:00-12:00
BSEL 133 BSEL 133
Data Wrangling in R Acquiring API data in Python
Before analyzing data, we often spend considerable effort wrangling the data into an analyzable form. In this follow-up to our Intro to R workshop, we introduce how to carry out various data wrangling tasks such as filtering, merging, reshaping, and aggregating data using the dplyr and tidyr packages. We also cover working with dates and character data, and provide numerous tips and suggestions for working efficiently with R and RStudio. No matter your field of study, you’re sure to get something useful out of this workshop! Note: This workshop assumes basic experience using R at the level of our Intro to R workshop. Clay Ford In this second workshop of the series we will learn about APIs (Application Program Interface) and how get data returned from them via an HTTP request, which is commonly returned to the user in XML or JSON format, among others. Then we will parse the messy data output into something meaningful. This workshop assumes attendees are familiar with the basics of Python but all are encouraged to attend and attendance of the other parts is not required. Erich Purpur
Tue 9/10 Tue 10/15
10:00-12:00 10:00-12:00
BSEL 133 BSEL 133
Data Visualization in R Data Visualization in Python
Exploring our data with graphs allows us to visualize relationships, spot unusual observations, or find unexpected patterns. In this workshop we introduce how to effectively use the ggplot2 package to explore and visualize data in R. With its consistent syntax and layered approach to making graphics, ggplot2 has revolutionized data visualization. What previously would have required hours of tedious programming can now be accomplished in a few lines of ggplot2 code. This workshop will introduce the logic behind ggplot2, how to use ggplot2 to explore your data, and how to customize and polish ggplot2 graphs. This workshop assumes basic experience using R at the level of our Intro to R workshop and familiarity with the dplyr package. Clay Ford In this third workshop of the series we will learn to use MatPlotLib, a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. For R users, MatPlotLib is similar to the ggplot2 module. This workshop assumes attendees are familiar with the basics of python but all are encouraged to attend and attendance of the other parts is not required. Erich Purpur
Tue 9/17 Tue 10/22
10:00-12:00 10:00-12:00
BSEL 133 BSEL 133
Scientific Workflow Tools Series
Bayesian Data Analysis in R, Part 1 Introduction to the Command Line/Unix Shell
In this first of a two-part series, we learn the basics of running and interpreting a Bayesian data analysis in R. The workshop will center on comparing traditional (Frequentist) statistical analyses to “equivalent” Bayesian approaches. We write equivalent in quotes because as we’ll see they’re not really equivalent. For example, a research question that would traditionally call for a t-test requires a different approach using Bayesian statistics. The workshop features very little math and emphasizes application. It is intended for all audiences! However some basic experience using R and some memory of an Introductory stats course will be helpful. Clay Ford This workshop provides an introduction to the command-line interface. We’ll learn how to use commands to perform basic operations in the terminal — creating or navigating directories, listing and displaying files, moving or copying files — as well as searching files, managing file permissions, and creating symbolic links. Working in the command line, we can combine existing programs, automate repetitive tasks, and connect to remote resources. Ricky Patterson
Wed 10/16 Wed 9/11
10:00-12:00 2:00-3:30
BSEL 133 BSEL 133
Bayesian Data Analysis in R, Part 2 Introduction to Git, GitHub and GitLab
In part two of this two-part series, we dive deeper into statistical modeling from a Bayesian perspective. Once again we present the concepts by way of comparing them to traditional (Frequentist) modeling approaches. For example, what is the Bayesian approach for analyzing data that would normally call for logistic regression? How would the implementation and interpretation differ? We’ll also cover the basics of model checking and visualization. This workshop is intended for all audiences, but we highly recommend attending Part 1. Clay Ford This workshop introduces version control using git through both GitHub and GitLab, free and open source platforms for building projects collaboratively. We’ll learn the basics of git repositories and commits including 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. And 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. Ricky Patterson
Wed 10/23 Wed 9/18
10:00-12:00 2:00-3:30
BSEL 133 BSEL 133
Introduction to R Research Data Management Practices
This workshop provides a gentle introduction to R and RStudio. R is a free, open-source software environment and programming language designed specifically for statistical analysis; RStudio is a free, open source integrated development environment (IDE) for R that provides a friendly interface for viewing graphs, data tables, R code, and output all at the same time. In this hands-on workshop we’ll get started navigating R with RStudio, loading libraries, and importing data. We’ll do some basic data manipulation, exploration, and analysis, and begin creating plots and graphics. And we’ll cover some key practices and shortcuts for using R effectively and helpful resources for learning more. Jenn Huck This workshop provides an overview of research data management best practices: file organization, file formats, metadata and documentation, data security, data storage, data backups, and data sharing. The emphasis is on strategies researchers can implement to make their data more findable, accessible, interoperable, and reusable — for themselves or others. We’ll also cover responsible data reuse, including citation, credit, and copyright. Bill Corey
Thu 9/26 Wed 9/25
10:00-12:00 2:00-3:30
BSEL 133 BSEL 133
Census Data Basics Using LaTeX and Overleaf
In this workshop, we’ll 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. We’ll go over the multiple Census geographies, what they represent, and how the fit together. And we’ll look at where and how Census data can be accessed, including easy-to-download sources as well as more advanced options. Finally, we’ll discuss standard errors in the frequently-used American Community Survey data, what they are, and how to use and interpret them appropriately. This workshop is not in R, but will be valuable to the upcoming tidycensus in R session, as well as to those seeking to work with Census data more generally. https://guides.lib.virginia.edu/censusWorkshop. Jenn Huck LaTeX is a powerful (and free) document typesetting program, widely used in a number of academic disciplines for compiling professional research papers, articles, dissertations, presentations, letters, and books. It is especially useful for the creation and integration of mathematical formulae, tables and bibliographies into documents. Running an installation of LaTeX on your own computer can make it difficult to work on a document collaboratively. The UVa Library has recently provided access for all UVa users 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 please bring a laptop in order to participate. Ricky Patterson
Thu 10/3 Wed 10/2
10:00-11:00 2:00-3:30
BSEL 133 BSEL 133
Working with tidycensus in R Making the Most of Funding Discovery Tools
The package tidycensus is designed to help R users get Census data that is pre-prepared for exploration within the tidyverse, and optionally spatially with sf. In this workshop, we’ll learn how to harness the power of tidyverse to access the 1990, 2000, and 2010 decennial Census and the American Community survey. Jenn Huck Funding discovery databases help researchers identify opportunities from public and private funders. UVa has access to two discovery tools licensed by the Vice Provost of Research Office, Pivot and GrantForward. These tools allow all UVa faculty, students and staff to search for funding and set up email search alerts based on a researcher’s area of interest. In this workshop, attendees will learn how to create an account, search the databases, share funding opportunities with others, as well as save search strategies for email alerts regarding new opportunities. We will also briefly explore the features of the Foundation Directory Online. Please bring a laptop for use during this hands-on workshop. Ricky Patterson
Thu 10/17 Wed 10/9
10:00-11:00 2:00-3:30
BSEL 133 BSEL 133
Tableau Series Online Survey Series
Basics of Data Visualization and Tableau Principles of Survey Development
This workshop, part 1 of a series, introduces basic principles and processes of good data visualization. We’ll discuss visual perception, including use of color and dimensions, along with best practices for making graphics readable and insightful. We’ll review data types and the appropriate dimensions and visualizations to effectively represent different types of data. And we’ll introduce Tableau Public as a tool to make beautiful and interactive data visualizations using hands-on examples. Nancy Kechner Don’t know a categorical question from a Likert scale? Come to this workshop, which will introduce you to principles, best practices, and common pitfalls of survey question development. Christine Slaughter
Thu 9/12 Wed 10/16
10:00-11:00 2:00-3:30
BSEL 133 BSEL 133
Data Visualization and Intermediate Tableau Building Surveys in Qualtrics
In this workhop, part 2 of a series, 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 — bar charts, scatterplots, line graphs, histograms, and heat maps — and discuss when they are most appropriate, how to get the most out of them, and how to implement them in Tableau. We’ll work through a variety of hands-on examples, so bring your laptops. Nancy Kechner This introductory workshop will cover everything you need to know to start developing and distributing surveys in Qualtrics, a powerful web-based survey tool available to all students, staff, and faculty at UVa. We’ll cover common survey question types, required questions, and content validation. We’ll learn about skips and display logic, randomization, and survey flow. Finally, we’ll look at different options for distributing surveys and getting reports out of Qualtrics. Nancy Kechner
Thu 9/19 Wed 10/23
10:00-11:00 2:00-3:30
BSEL 133 BSEL 133
Writing Management Tools Series General Data Tools Series
Introduction to Zotero for Citation Management Working with Data in Excel
Zotero is an open source tool that can help you keep track of citations while you search, create citations while you write, generate a formatted bibliography, and organize references and information. In this hands-on workshop we will cover a comprehensive introduction to the main features of Zotero including initial set-up, importing citations, saving document files, and creating bibliographies in a number of formats. Maggie Nunley Excel is a widely-used spreadsheet program and business application. It can be a powerful tool for organizing and representing data. In this workshop we’ll 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. Nancy Kechner
Tue 9/24 Tue 9/5
2:00-3:30 10:00-12:00
BSEL 133 BSEL 133
Using Advanced Features of Zotero Introduction to QGIS
This workshop will focus on advanced features in Zotero, an open source tool citation management tool. We’ll look at collaboration features (Collections, Groups), tools for advanced organization (tags, metadata) of your library, customization options, and sharing of useful plugins (such as PDF annotators). This workshop assumes you have Zotero installed and are familiar with importing citations/documents and creating simple bibliographies. Jeremy Garritano This workshop will be a hands-on introduction to QGIS, a widely used Free and Open Source(FOSS) Geographic Information Systems(GIS) program. We will talk briefly about background concepts and learn something about the FOSS geospatial software ecosystem and how it compares with similar proprietary softwares (ESRI/ArcGIS). We’ll use some sample data and walk through some of the basic tools and operations. Lastly, you’ll learn how to help yourself in the future. Erich Purpur
Tue 10/1 Wed 9/18
2:00-3:30 10:00-12:00
BSEL 133 BSEL 133
Using LaTeX and Overleaf Qualitative Data Analysis and Introduction to Dedoose
LaTeX is a powerful (and free) document typesetting program, widely used in a number of academic disciplines for compiling professional research papers, articles, dissertations, presentations, letters, and books. It is especially useful for the creation and integration of mathematical formulae, tables and bibliographies into documents. Running an installation of LaTeX on your own computer can make it difficult to work on a document collaboratively. The UVa Library has recently provided access for all UVa users 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 please bring a laptop in order to participate. Ricky Patterson In this workshop, we’ll explore principles of qualitative analysis, including coding, discerning patterns, relevant software, and how to build an argument using your data. We’ll learn how to use Dedoose, an online qualitative data analysis tool, to analyze and visualize a variety of information, including text articles, audio, video, and still images. Christine Slaughter
Wed 10/2 Wed 9/25
2:00-3:30 10:00-11:30
BSEL 133 BSEL 133
MS Word for Theses/Long Documents Census Data Basics
If you plan on using Word for your next research paper, thesis, dissertation, or book manuscript, come to this session to learn tips and tricks that will save you time and headaches. Christine Slaughter In this workshop, we’ll 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. We’ll go over the multiple Census geographies, what they represent, and how the fit together. And we’ll look at where and how Census data can be accessed, including easy-to-download sources as well as more advanced options. Finally, we’ll discuss standard errors in the frequently-used American Community Survey data, what they are, and how to use and interpret them appropriately. https://guides.lib.virginia.edu/censusWorkshop. Jenn Huck
Tue 10/22 Thu 10/3
2:00-3:30 10:00-11:00
BSEL 133 BSEL 133


Colleagues across the university offer workshops in computational resources, programming, and data!
All Library Workshops || HSL Data Workshops || CADRE/SOMRC Workshops  || ARCS Workshops