Each semester, the Library offers a schedule of workshops to provide faculty, students, and all Library users with instruction in the latest technologies designed to aid research. Please view the schedule of workshops for this month and sign up today. Courses are open to undergrads, grad students, faculty, the general public and are geared to every level of experience, from beginners to seasoned researchers. Each workshop is taught by an expert in the field. Take advantage of information that can make your research extraordinary.

The Library will post about workshops offered each month here in Library News & Announcements, so keep checking, and visit the Library’s Facebook page every Monday to see the workshops being offered for that week.

SEPTEMBER WORKSHOPS:

9/3  Intro to R provides a gentle introduction to the R and RStudio open-source software designed specifically for statistical analysis.

9/4  Life Hack: UVA Libraries—Learn about fascinating, FREE resources available within the UVA Library!!

9/5  Data in Excel—Learn to use Excel for data preparation, analysis, and visualization.

9/9  3D Printing Basics—overview of current trends and tools for 3D modeling and printing, followed by a hands-on demonstration of basic printer operation.

9/10  Data Wrangling in R—introduction to carrying out various data wrangling tasks such as filtering, merging, reshaping, and aggregating data

9/11  Intro to the Command Line/Unix Shell—introduction to the command-line interface, includes using commands to create or navigate directories, list and display files, move or copy files as well as search files, manage file permissions, and create symbolic links

9/11  Making Your First Map with ArcGIS Pro—Get a gentle introduction to cartography and learn to use geographic information systems (GIS) software in a friendly, jargon-free environment. Introduces skills you need to make your own maps with Earth’s most popular GIS software (ArcGIS).

9/12  Basics of Data Viz and Intro to Tableau—basic principles and processes of good data visualization (visual perception, color and dimensions, along with best practices for making graphics readable and insightful). There will be hands-on examples using Tableau Public

9/17  Data Visualization in R—explore data with graphs to visualize relationships, spot unusual observations, or find unexpected patterns

9/18  Intro to QGIS—hands-on introduction to QGIS, a widely used Free and Open Source (FOSS) Geographic Information Systems (GIS) program

9/18  Intro to Git, GitHub/GitLab Introduces version control using git through GitHub and GitLab, which are free and open source platforms for building projects collaboratively. Workshop requires GitHub and GitLab user accounts.

9/18 Putting Old Maps & Aerial Photos on Your Map: Georeferencing in ArcGIS Pro—Learn about “georeferencing,” the first step to overlaying historical maps on modern aerial photography and extracting features from maps for use in GIS.

9/19  Data Viz and Intermediate Tableau—How to get the most out of bar charts, scatterplots, line graphs, histograms, and heat maps

9/23  Raspberry Pi and Basic Python Programming—Introduction to Raspberry Pi micro-computer and the very basics of the Python programming language. No prior experience needed.

9/24  Intro to Zotero—an open source citation manager that keeps track of citations while you search, creates citations while you write, generates a formatted bibliography, and organizes references and information.

9/24  Literature Reviews in the Social Sciences—Develop strategies for finding, evaluating, and organizing sources for your literature review.

9/25  Qualitative Data Analysis and Intro to Dedoose—Learn how to use the Dedoose online qualitative data analysis tool to analyze and visualize a variety of information, including text articles, audio, video, and still images.

9/25  Literature Reviews: Becoming Part of the Scholarly Conversation—Learn how to situate your argument in relation to other research that’s been done on your topic. Develop strategies for finding, evaluating, and organizing sources for your literature review.

9/25  Research Data Management Best Practices—An overview of research data management best practices. Includes file organization, file formats, metadata and documentation, data security, data storage, data backups, and data sharing

9/25  Getting Your Data on a Map—Learn to us the ArcGIS’s Add XY data tool and Geocoding (address matching) to place geographical coordinates (latitude and longitude) on a map.

9/26  Intro to R—provides a gentle introduction to the R and RStudio open-source software designed specifically for statistical analysis.