Below are selected upcoming workshops - see our entire list of HSL Research & Data Workshops
See additional free workshops on data analysis, visualization, research computing and more from our on-Grounds partners:
University Library Research Data Services + Sciences Workshops
Training on data analysis, statistics, and computation and on Library resources and methods. Fall 2019 will feature multiple series of workshops, including series in:
The Claude Moore Health Sciences Library is located at 1350 Jefferson Park Avenue between McKim Hall and Pinn Hall (formerly Jordan Hall).
Access to Health System buildings is limited to those with a Health System ID, however, several entrances have accommodations for visitors. Please see the map below for entrances convenient to main Grounds. Entrances indicated with a red arrow have a "doorbell" to request access. The main entrance to West Complex (indicated by a green arrow) is publicly accessible, as is the main entrance to the University Hospital.
If you have questions about accessing the Library, please contact the HSL Service Desk at 434-924-5444.
Winter/Spring 2019
Introduction to R
Introduction to SPSS
Data Visualization in R with ggplot2
Data Preparation: Taming wild data with R
Essential Skills for Data in Excel
Essential Statistics with R
Power and Sample Size in R
Predictive Analytics with R
Managing R Libraries
Reproducible Research Using RMarkdown and GitHub
Interactive Visualization with R using Shiny
Regression in R
Introduction to RNASeq
Single cell RNASeq with Seurat
Introduction to QGIS
Qualitative Data Analysis and Introduction to Dedoose
Introduction to SAS
Funding Discovery Workshop
Introduction to Qualtrics
Introduction to scientific image processing with Fiji/ImageJ
Automation of image processing with Fiji/ImageJ
Introduction to NCBI Resources
Fall 2018
Introduction to R
Introduction to SPSS
Data Visualization in R with ggplot2
Data Preparation: Taming wild data with R
Essential Skills for Data in Excel
Essential Statistics with R
Introduction to QGIS
Introduction to Stata
Introduction to SAS
Funding Discovery Workshop
Introduction to Qualtrics
Introduction to scientific image processing with Fiji/ImageJ
SciFinder Skills Enhancement
Reaxys Medicinal Chemistry
Introduction to NCBI Resources
Regression in R
Automation of image processing with Fiji/ImageJ
Predictive Analytics with R
Building Shiny Web Applications in R
Winter/Spring 2018
Introduction to R
Introduction to SPSS
Data Manipulation in R with dplyr
Managing Your Spreadsheet Data
Interactive Visualization with R
Predictive Analytics with R
Funding Discovery Workshop
Survey Design with Analysis in Mind (Qualtrics)
Data Manipulation in R with dplyr
Essential Statistics with R
Using SPSS Syntax
Introduction to SAS
Building Shiny Web Applications in R
Data Visualization in R with ggplot2
Predictive Analytics with R
Essential Statistics with R
Using SPSS Syntax
Fall 2017
Coordinated under the UVA BioConnector branding, these workshops were led by SOM Research Computing, Health Sciences Library, Public Health Sciences, University Library, and Advanced Research Computing Services
Advanced Data Manipulation with R - 2017-10-03
Advanced Data Visualization with ggplot2 - 2017-10-30
Automated Image Analysis with ImageJ - 2017-10-19
Building Shiny Web Applications in R - 2017-04-18
Data cleansing in Python using Pandas and the Jupyter Notebook - 2017-10-09
Data visualization in Python - 2017-10-12
Essential Statistics with R - 2017-11-13
Introduction to Cloud Computing with AWS - 2017-09-26
Introduction to the Command Line - 2017-09-07
Introduction to Dedoose- 2017-10-31
Introduction to Docker Containers - 2017-10-31
Introduction to Git and GitHub 2017-09-22
Introduction to Ivy - 2017-09-19
Introduction to Matlab - 2017-11-07
Introduction to Python - 2017-09-05, 2017-09-11
Introduction to R - 2017-09-06, 2017-09-12
Introduction to Rivanna - 2017-09-21, 2017-11-01
Introduction to SAS - 2017-09-27
Introduction to Scientific Image Processing with Fiji/ImageJ, 2017-10-10
Introduction to SPSS - 2017-09-20
Organizing Your Spreadsheet Data - 2017-09-28, 2017-11-07
Overview of UVA Research Computing Resources - 2017-09-14
Power and Sample Size Analysis with R - 2017-10-12
Python Web apps using the Flask framework - 2017-10-23
R Package Development Tools - 2017-10-16
Reproducible Reporting with R and RMarkdown - 2017-11-6
Spring 2017
Coordinated under the UVA BioConnector branding, these workshops were led by SOM Research Computing, Health Sciences Library, Public Health Sciences, and the University Library
Advanced Data Manipulation with R - 2017-02-14
Advanced Data Visualization with R - 2017-02-21
Automated Image Analysis with ImageJ - 2017-03-29
Building Shiny Web Applications in R - 2017-04-18
Data cleansing in Python using Pandas and the Jupyter Notebook - 2017-03-15
Data visualization in Python using Matplotlib v. 2 and Bokeh - 2017-03-28
Essential Statistics with R - 2017-02-23
Introduction to Cloud Computing with AWS - 2017-04-04
Introduction to Python - 2017-02-09
Introduction to SAS - 2017-01-31
Introduction to the Command Line - 2017-01-26
Introduction to ArcGIS - 2017-03-27
Introduction to Dedoose - 2017-04-10
Introduction to SPSS - 2017-02-15
Managing Your Spreadsheet Data - 2017-03-14
Organizing Your Spreadsheet Data - 2017-01-24
Power and Sample Size Analysis with R - 2017-03-02
Python Web apps using the Flask framework - 2017-03-30
Quantitative analysis and visualization of medical images using Advanced Normalization Tools (ANTs) - 2017-04-19
R for Beginners - 2017-01-24
R for Beginners - 2017-02-02
Statistical Analysis with SAS - 2017-02-17
Survival Analysis in R with TCGA Data - 2017-03-31
Claude Moore Health Sciences Library 1350 Jefferson Park Avenue P.O. Box 800722 Charlottesville, VA 22908 (Directions)
Contact Us
Staff Directory
(434) 924-5444Feedback
© 2018 by the Rector and Visitors of the University of Virginia
Copyright & Privacy
