Below are selected upcoming workshops - see our entire list of HSL Research & Data Workshops

Essential Skills for Data in Excel

Following the Guide below and using the Excel files for practice you should be able to replicate the workshop.

For additional Excel training please visit UVA's subscription to LinkedIn Learning (formerly Lynda.com). It has hundreds of tutorials on many topics.

See additional free workshops on data analysis, visualization, research computing and more from our on-Grounds partners:

University Library Research Data Services + Sciences and Research Computing Workshops Spring 2020

Training on data analysis, statistics, computation, and library resources. See their series on:
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

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.

Fall 2019 

Data Analysis, Visualization, and Research Software Workshops

Introduction to R
Data Visualization in R with ggplot2
Data Preparation: taming wild data with R
Power and Sample Size in R
Essential Skills for Data in Excel
Essential Statistics with R
Funding discovery workshop
Introduction to scientific image processing with Fiji/ImageJ
Automation of image processing with Fiji/ImageJ
​Browsing Genes and Genomes with Ensembl and Ensembl Genomes
Introduction to QGIS​
Introduction to Qualtrics
​Regression in R
Qualitative Data Analysis and Introduction to Dedoose
Introduction to SPSS
Introduction to RNASeq
Machine Learning in R
Reproducible Research Using RMarkdown and GitHub
Moving R Programs to Rivanna
Managing R Libraries
Regression in R
Survival Analysis in R
Interactive Visualization with R using Shiny

Winter/Spring 2019 

Data Analysis, Visualization, and Research Software Workshops

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 

Data Analysis, Visualization, and Research Software Workshops

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 

Data Analysis, Visualization, and Research Software Workshops

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

Data Analysis, Visualization, and Computing Workshops

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

Data Analysis, Visualization, and Computing Workshops

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