Workshops

We offer training on data analysis, statistics, and computation and on Library resources and methods. In Spring 2020 we’re teaming up with the Research Computing team to offer multiple series of workshops.

March 12th update: We are moving the 6 remaining Spring 2020 workshops online, and moving each workshop back by one week. The Zoom location of each meeting will be listed below, and communicated to everyone who has signed already registered.

March 16th update: We have cancelled the 6 remaining Spring 2020 workshops. Of course, we are always happy to consult with individuals about the topics covered in our workshops (among others).

Getting Started with R || R for Statistics || R for Big (Comp/Data) || Getting Started with Python
Using Matlab || Using Rivanna || Using Tableau || Using Fiji/ImageJ || General Data Tools
Computational Workflow Tools || Grant Workflow Tools || Writing Workflow Tools

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

Getting Started with R Getting Started with Python
Introduction to R/RStudio Introduction to Python
This workshop provides a gentle introduction to using R with RStudio. R is a free, open-source software environment and programming language designed specifically for data 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. 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.

R is available to everyone, and no prior knowledge is needed for this workshop. Please bring a laptop to fully participate.

Workshop materials

Jenn Huck This introductory workshop covers the fundamentals of Python, a popular general purpose, high level programming language. We’ll cover some background, get everyone’s coding environment set up using the Spyder IDE, and then dig into 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.

Python is available to everyone. No prior knowledge needed, but be sure to bring a laptop in order to participate.

Workshop Materials

Erich Purpur
Tue 1/21 Tue 1/21
10:00-12:00 2:00-4:00
BSEL 133 BSEL 133
Data Wrangling in R Using APIs with 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 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 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!

R is available to everyone, and the only prior knowledge assumed for this workshop is basic experience using R such as how to open an R script, read in and examine data, and submit R code. Please bring a laptop to fully participate.

Workshop materials

Clay Ford APIs (Application Program Interface) are an intermediary which allows software/computer programs to talk to each other. This workshop will cover how to read API documentation, write code to
submit API requests, and work with the data returned by that request. We will use python in a Jupyter Notebook environment to query the OpenWeatherMaps api and access weather data.Python is available to everyone. Basic familiarity with Python is recommended. Be sure to bring a laptop in order to participate.Workshop Materials
Erich Purpur
Tue 1/28 Tue 1/28
10:00-12:00 2:00-4:00
BSEL 133 BSEL 133
Data Visualization in R Data Visualization with Matplotlib
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 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.

R is available to everyone. The only prior knowledge assumed for this workshop is basic experience using R such as how to open an R script, read in and manipulate data, and submit R code. Please bring a laptop to fully participate.

Workshop materials

Clay Ford Data Visualization is important as it communicates the meaningful information about your data in an easy to understand way. This workshop will cover how to use the Matplotlib library, a widely used python library for creating charts, plots, and graphs. We will also touch on other data visualization libraries and help you make a decision about how to communicate your data and results

Python is available to everyone. Basic familiarity with Python is recommended. Be sure to bring a laptop in order to participate.

Workshop Materials

Erich Purpur
Tue 2/4 Tue 2/4
10:00-12:00 2:00-4:00
BSEL 133 BSEL 133
Shiny Web Apps in R Web Scraping with Python
Shiny is a framework for developing interactive, web visualizations and tools with R. This workshop will cover the key comonents of a Shiny app, creating a basic user interface, adding reactive widgets, and publishing a Shiny app to a hosting service to share with others. No web development experience is required.

R is available to everyone. The only prior knowledge assumed for this workshop is some programming experience with R. Please bring a laptop to fully participate.

Workshop Materials

Christina Gancayco Web scraping is a common way of collecting unstructured data from websites in a systematic way. In this workshop we will use the BeautifulSoup library in python to illustrate how to capture data from the web for our own analysis.

Python is available to everyone. Familiarity with Python is recommended. Be sure to bring a laptop in order to participate.

Workshop Materials

Erich Purpur
Tue 2/11 Tue 2/11
10:00-12:00 2:00-4:00
BSEL 133 BSEL 133
R for Stats Matlab Series
Introductory Statistics with R Fundamentals of MatLab
Do you need a stats refresher and some extra practice with R? This workshop is for you! Join us for a solid 2-hour hands-on review of the fundamentals, including confidence intervals, hypothesis testing, interpreting p-values, simple linear regression, and more. We’ll get down to business on how to perform basic statistical analyses using R and how to interpret the results with minimal math and theory. The goals are to help you develop (or rediscover) some intuition for basic statistics, get comfortable using R for statistical analyses, and grow your arsenal of strategies and tactics for working with data in R.

R is available to everyone. The only prior knowledge assumed for this workshop is basic experience using R such as how to open an R script, read in and manipulate data, and submit R code. Be sure to bring a laptop in order to participate.

Download workshop files

Clay Ford This workshop provides a hands-on introduction to the Matlab technical computing environment. No prior programming experience or knowledge of Matlab is assumed. The workshop will explore data analysis, visualization, modeling, and programming.

Matlab is available to UVA affiliated researchers. No prior knowledge is needed, but please bring a laptop in order to participate.

Workshop Materials

Ed Hall
Wed 2/12 Thu 1/30
10:00-12:00 12:00-1:50
BSEL 133 BSEL 133
Linear Modeling with R Parallel Computing with Matlab
In this workshop, we’ll cover how to carry out multiple regression, ANOVA, model selection, model validation and diagnostics using the R statistical computing environment. Special emphasis will be placed on visualizing linear models to help communicate results. This workshop is ideal for those familiar with linear modeling in other programs (such as Stata or SPSS) but who want to learn how to do it in R. This can also serve as a refresher for forgotten statistics!

R is available to everyone. The only prior knowledge assumed for this workshop is basic experience using R such as how to open an R script, read in and manipulate data, and submit R code as well as some comfort with basic statistical concepts such as confidence intervals and hypothesis testing. If your stats are rusty, we recommend attending the Introductory Statistics with R workshop. Be sure to bring a laptop in order to participate.

Download workshop files

Clay Ford This workshop cover a variety of techniques for making your Matlab code run faster. You will learn how to identify and remove computational bottle-necks using techniques like pre-allocation and vectorization. Also, you will learn how to take advantage of multiple cores on your computer by parallelizing for-loops with the Parallel Computing Toolbox, and scale up across multiple computers using Matlab Parallel Server.

Matlab is available to UVA affiliated researchers. Experience with Matlab at the level of Matlab Fundamentals is recommended. Please bring a laptop in order to participate.

Workshop Materials

Ed Hall
Wed 2/19 Thu 2/6
10:00-12:00 12:00-1:50
BSEL 133 BSEL 133
Modeling Count Data with R Statistical Methods in Matlab
Number of published articles by faculty, number of hospital visits, number of drinks consumed, number of tumors found post-surgery. These are examples of count data. Statistical modeling of count data sometimes requires special handling. For starters, counts are discrete and they can’t be negative. Counts can also have odd or highly skewed distributions. For these reasons we need special methods to model count data. In this workshop we cover various types of count models and how to assess, interpret and visualize them.

R is available to everyone. The only prior knowledge assumed for this workshop is basic experience using R such as how to open an R script, read in and manipulate data, and submit R code as well as some comfort with basic linear modeling. Although not required, we recommend attending the Linear Modeling with R workshop as a prerequisite. Be sure to bring a laptop in order to participate.

Download workshop files

Clay Ford The workshop introduces descriptive statistics and data fitting using Matlab. It covers techniques for exploring data, performing interpolations, and curve fitting. We will explore statistical visualizations, probability distributions, fitting regression models, evaluating goodness-of-fit, Linear and nonlinear interpolation.

Matlab is available to UVA affiliated researchers. Experience with Matlab at the level of Matlab Fundamentals is recommended. Please bring a laptop in order to participate.

Workshop Materials

Ed Hall
Wed 2/26 Thu 2/13
10:00-12:00 12:00-1:50
BSEL 133 BSEL 133
R for Big (Comp/Data)
Moving R to HPC Optimization Methods in Matlab
Are you finding that your R programs are taking too long to run or are running out of memory on your laptop/desktop? Then it may be time to move your analysis onto a bigger system. In this workshop, you will learn how to Transfer your work onto the Rivanna cluster, submit jobs on Rivanna so that they run in the background, and request more memory for your code.

Rivanna is available to UVA affiliated researchers. The only prior knowledge assumed for this workshop is some programming experience with R. Be sure to bring a laptop in order to participate.

Jackie Huband This workshop introduces applied optimization in the Matlab environment, focusing on using Optimization Toolbox and Global Optimization Toolbox. We will cover multiple topics: running optimization problems in Matlab, specifying objective functions, specifying constraints, choosing solvers and algorithms, evaluating results and improving performance, using global optimization methods.

Matlab is available to UVA affiliated researchers. Experience with Matlab at the level of Matlab Fundamentals is recommended. Please bring a laptop in order to participate.

Workshop Materials

Ed Hall
Wed 2/19 Thu 2/20
2:00-4:00 12:00-1:50
BSEL 133 BSEL 133
Optimizing R Code Deep Learning in Matlab
R is often considered a slow programming language. In some cases, this is caused by inefficient code. This workshop examines how to write R programs which are more efficient. Topics will include the causes for R being slow, techniques for making R code run faster, and methods for timing blocks of code.

Rivanna is available to UVA affiliated researchers. The only prior knowledge assumed for this workshop is some programming experience with R. Be sure to bring a laptop in order to participate.

Jackie Huband Deep learning algorithms are frequently used in applications like face recognition, image classification, and automated driving. This workshop provides an introduction to practical deep learning using Matlab. We will cover the fundamentals if deep learning and learn how to create, train, and evaluate different kinds of deep neural networks.

Matlab is available to UVA affiliated researchers. Some programming experience with Matlab is recommended. Be sure to bring a laptop in order to participate.

Workshop Materials

Christina Gancayco
Wed 2/26 Thu 2/27
2:00-4:00 12:00-1:50
BSEL 133 BSEL 133
Parallelizing R Image Processing in Matlab
Processing large amounts of data with complex models can be time consuming. Some kinds of tasks, looping over a list or repetitively applying a function, can be easily parallelized to increase the speed. This workshop is a hands-on introduction to using multiple cores within R code. R is primarily a serial language but several packages allow a single program to run on multiple processors, which can greatly speed up the code.

Rivanna is available to UVA affiliated researchers. The only prior knowledge assumed for this workshop is some programming experience with R. Be sure to bring a laptop in order to participate.

Jackie Huband This workshop will cover the basics of Matlab’s Image Processing Toolbox. We will perform and automate common image processing workflows including de-noising, segmentation, and analysis.

Matlab is available to UVA affiliated researchers. Some programming experience with Matlab is recommended. Be sure to bring a laptop in order to participate.

Workshop Materials

Christina Gancayco
Wed 3/4 Thu 3/5
2:00-4:00 12:00-2:00
BSEL 133 BSEL 133
Grant Workflow Tools
Parallel R with MPI Funding Discovery Tools
When your multicore R program runs out of memory, it is time to distribute your code across multiple machines. This workshop covers the basics of message passing interface (MPI) which is needed for the code to commicate across machines.

Rivanna is available to UVA affiliated researchers. The only prior knowledge assumed for this workshop is some programming experience with R. Be sure to bring a laptop in order to fully participate.

Jackie Huband 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.

Pivot and GrantForward are available to UVA affiliated researchers. No prior knowledge is needed, but please bring a laptop for use during this hands-on workshop.

 

Workshop Materials

Ricky Patterson
Wed 3/18

Cancelled

Wed 2/5
2:00-4:00 2:00-3:30
BSEL 133

Cancelled

BSEL 133
Computational Workflow Tools
Introduction to the Command Line/Unix Writing Data Management Plans with the DMPTool
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.

Use of the command line is available to everyone. No prior knowledge is needed for this workshop, but please bring a laptop to participate.

Workshop Materials

Ricky Patterson Are you writing a research grant application? The DMPTool provides step-by-step instructions for how to create a ready-to-use data management plan that meets the requirements of specific funding agencies. This workshop will show you everything you need to know about the DMPTool, from how to log in through drafting a data management plan to submitting it for review.

The DMPTool is available to everyone. No prior knowledge needed. Participants with a funder solicitation of interest, or primary funder in your discipline identified, will benefit the most. Please bring a laptop in order to participate.

Workshop Materials

Bill Corey
Wed 1/22 Wed 2/12
10:00-12:00 2:00-4:00
BSEL 133 BSEL 133
Fiji/ImageJ
Introduction to Git/GitHub Introduction to Image Processing with Fiji/ImageJ
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.

Git and GitHub are available to everyone. No prior knowledge is needed for this workshop, but please bring a laptop to participate.

Workshop Materials

Ricky Patterson In this workshop, participants will learn how to use the Fiji/ImageJ software to apply image processing filters, implement strategies for image background correction, and analyze image objects of interest using segmentation masks. Participants should bring their own laptop with Fiji preinstalled. Instructions for installations of Fiji on Windows, Mac OSX, and Linux can be found on this website: https://fiji.sc/#download

Fiji/ImageJ is available to everyone. No prior knowledge is needed, but please bring a laptop (with Fiji installed) in order to participate.

Workshop Materials

Karsten Siller
Wed 1/29 Tue 2/18
10:00-12:00 2:00-5:00
BSEL 133 BSEL 133
Getting Started with LaTeX and Overleaf Automation of Image Processing with Fiji/ImageJ
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.

Overleaf and LaTeX are available to everyone. No prior knowledge is needed for this workshop, but please bring a laptop to participate.

Workshop Materials

Ricky Patterson Participants will learn how to write scripts for automated execution of image processing pipelines and batch processing of multiple image files in Fiji. Example scripts will be provided using the Python and BeanShell languages. Participants should bring their own laptop with Fiji preinstalled. Instructions for installations of Fiji on Windows, Mac OSX, and Linux can be found on this website: https://fiji.sc/#download

Fiji/ImageJ is available to everyone. Familiarity with Fiji/ImageJ at the level of the prior Fiji/Imagej session is recommended. Please bring a laptop (with Fiji installed) in order to participate.

Workshop Materials

Karsten Siller
Wed 3/4 Tue 2/25
10:00-12:00 2:00-5:00
BSEL 133 BSEL 133
Using Rivanna Writing Workflow Tools
Using Rivanna from the Command Line Introduction to Zotero
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.

Rivanna is available to UVA affiliated researchers. No prior experience with HPC or Unix is necessary, though programming experience in a software environment available on Rivanna is useful. Be sure to bring a laptop in order to participate.

Workshop Materials

Gladys Andino Zotero is a free and open-source reference management tool that allows researchers to maintain a database of the books, articles, and other media used in a project. This workshop will cover all the basics of downloading, setting up, and using Zotero. You don’t need to prep anything before the workshop, we’ll start by setting up accounts and downloading all the required apps and plugins. If you’ve looked at using Zotero before but found it a bit overwhelming, this workshop will help break down each step in the step-up and give you time to start adding your PDFs, bookmarks, and more to your Library.

Zotero is available to everyone. No prior knowledge is needed, but please bring a laptop in order to participate.

Workshop Materials

Maggie Nunley
Thu 1/30 Thu 2/20
2:00-4:00 10:00-11:30
BSEL 133 BSEL 133
Software Containers for HPC environments Advanced Zotero
This workshop provides an introduction to using software containers in high-performance computing (HPC) environments. Containers greatly simplify software installation and management by bundling applications, required libraries, and even data into portable, self-contained files called images. Participants will learn about basic differences between the popular Docker and Singularity container systems and how to use existing Singularity containers on UVA’s HPC system, Rivanna. Do you already have a Docker container for your favorite software? We will show you how to convert Docker containers into Singularity containers that can be used within the Rivanna HPC environment.

Rivanna is available to UVA affiliated researchers. Familiarity with Linux command line interface is recommended, and can be gained from either the Introduction to the Command Line and Unix workshop, or the Using Rivanna from the Command Line workshop. Experience with UVA’s HPC environment is beneficial but not required. Be sure to bring a laptop in order to participate.

Workshop Materials

Ruoshi Sun This workshop will focus on advanced features in Zotero, an open source tool citation managemen tool. We’ll look at collaboration features (Collections vs. Groups), tools for advanced organization of your library (tags, metadata), customization options, and sharing of useful plugins (such as PDF annotators).

Zotero is available to everyone. This workshop assumes you have Zotero installed and are familiar with importing citations/documents and creating simple bibliographies. Please bring a laptop in order to participate.

Workshop Materials

Jeremy Garritano
Thu 2/13 Thu 2/27
2:00-4:00 10:00-11:30
BSEL 133 BSEL 133
High Performance Python MS Word for Long Documents
Python is a popular and powerful programming language, but its performance lags that of many other languages. In this workshop we will cover tips and tricks to improve your Python programs’ performance. We will also cover using multiple cores and nodes to parallelize Python.

Rivanna is available to UVA affiliated researchers. Experience with Python and familiarity with the Linux command line interface is recommended. Experience with UVA’s HPC environment is beneficial but not required. Be sure to bring a laptop in order to participate.

Workshop Materials

Karsten Siller Managing long documents in Word can be a challenge. 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. We will go over Word interface and functions, creating a thesis template and a master document, working with images and tables, and editing and sharing your document.

Microsoft Word is widely available. A basic knowledge of Word is recommended. Please bring a laptop in order to participate.

Christine Slaughter
Thu 2/20 Thu 3/19

Cancelled

2:00-4:00 10:00-11:30
BSEL 133 BSEL 133

Cancelled

General Data Tools
C/C++ and Fortran on Rivanna Qualitative Data Analysis
Using your C/C++ or Fortran program on Rivanna, UVA’s HPC environment, requires additional steps. This workshop will cover choosing a compiler, and loading the appropriate modules. We’ll tak more about compiling, linking, building and using make (including our makemake utility). Finally, we’ll explore compiler options, using IDEs, and building OpenMP and MPI codes.

Rivanna is available to UVA affiliated researchers. Experience with C/C++/Fortran and familiarity with the Linux command line interface is recommended. Experience with UVA’s HPC environment is beneficial but not required. Be sure to bring a laptop in order to participate.

Workshop Materials

Ruoshi Sun 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.

Methods of analysis are available to everyone; Dedoose requires a monthly subscription, though a free 30-day trial is available. No prior knowledge is needed, but please bring a laptop in order to participate.

Christine Slaughter
Thu 2/27 Tue 3/3
2:00-4:00 10:00-11:30
BSEL 133 BSEL 133
Julia on Rivanna
Census Basics
Julia is a high performance programming language, similare to Matlab. This workshop will cover the basics of running both serial and parallel Julia code on Rivanna, UVA’s HPC environment.

Rivanna is available to UVA affiliated researchers. Experience with Julia and familiarity with the Linux command line interface is recommended. Experience with UVA’s HPC environment is beneficial but not required. Be sure to bring a laptop in order to participate.

Ed Hall 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. Census tools are available to everyone; some tools, like Social Explorer, are available to UVA affiliated researchers. No prior knowledge is needed, but please bring a laptop in order to participate.

Jenn Huck
Thu 3/26

Cancelled

Tue 3/17

Cancelled

2:00-4:00 10:00-11:30
BSEL 133

Cancelled

BSEL 133

Cancelled

Tableau
Introduction to Data Visualization and Tableau Census with R
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 effective graphicsl. 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.

Tableau Public is available to everyone. No prior knowledge needed, but be sure to bring a laptop in order to participate.

Workshop Materials

Nancy Kechner In this workshop, you will learn how to use the tidycensus and censusapi R packages. The package tidycensus is designed to help R users get decennial and ACS Census data that is pre-prepared for exploration within the tidyverse, and optionally spatially with sf. Censusapi allows you to retrieve any Census API endpoint within R. We will do some light plotting and mapping as well. We also briefly touch on other packages you might want to consider when using the Census.

R and a Census API key are available to everyone. A familiarity with Census data or the Census Basics Workshop is recommended. Please bring a laptop to fully participate.

Jenn Huck
Thu 1/30 Tue 3/24

Cancelled

 

10:00-11:45 10:00-12:00
BSEL 133 BSEL 133

Cancelled

Data Visualization with Tableau II Introduction to QGIS
In this workshop, part 2 of a series, we’ll continue to work within Tableau to create interactive data visualizations. We’ll review a variety of visualization approaches, including scatterplots, heat maps, and presenting spatial data, and learn about calculations within Tableau. We’ll work through a variety of hands-on examples.

Tableau Public is available to everyone. Familiarity with the Tableau interface and visualization concepts at the level of the prior introductory session is assumed. Please be sure to bring a laptop in order to participate.

Workshop Materials

Nancy Kechner QGIS is a free and new open source GIS (geographic information system) software. GIS tools allow users to visualize their data on a map to communicate your spatial data in a more meaningful way. In this workshop we will cover some GIS fundamentals, get everyone up and running in QGIS, and walk through some basic functionality and data types.

QGIS is available to everyone. No prior knowledge is needed, but please bring a laptop in order to participate.

Erich Purpur
Thu 2/6 Tue 3/24

Cancelled

10:00-11:45 2:00-4:00
BSEL 133 BSEL 133

Cancelled


Colleagues across the university offer workshops in computational resources, programming, and data!
All Library Workshops || HSL Data Workshops || Scholars’ Lab Workshops