Data Carpentry Genomics Workshop
In this 2.5 day, hands-on workshop, participants will learn essential skills for working with genomics data.
Featured services
-
Study Room ReservationsReserve a group study room or graduate student closed study carrel in Gelman -
My AccountCheck due dates, access saved articles, etc. -
DatabasesFind by subject or by the A-Z listing -
All six libraries at GW
-
Most-needed information for specific patron groups
Events
12 events at GW Libraries.
A Walk on the R Side: R for Data Analysis
This workshop will introduce participants to basic R tasks such as reading data into R, analyzing data, and plotting data.
Mapmaking for Novices: Introduction to GIS Software
This workshop will introduce you to the key concepts of GIS and making basic maps of data in ArcGIS Pro.
A Walk on the R Side: R for Data Analysis
This workshop will introduce participants to basic R tasks such as reading data into R, analyzing data, and plotting data.
Location, Location, Location: Creating Maps of Your Location Data
Learn how to create maps of location data, like places and addresses, in this introductory workshop.
Introduction to Tableau
This is a series of two workshops that will introduce users to Tableau.
Mapmaking for Novices: Introduction to GIS Software
This workshop will introduce you to the key concepts of GIS and making basic maps of data in ArcGIS Pro.
Statistical Inference with R: Inference for Continuous Data
This workshop will walk you through the R functionality you'll need to use when conducting hypothesis tests on continuous variables.
Location, Location, Location: Creating Maps of Your Location Data
Learn how to create maps of location data, like places and addresses, in this introductory workshop.
Statistical Inference with R: Inference for Categorical Data
This workshop will walk you through the R functionality you can use to compute correlations between continuous variables.
Statistical Inference with R: Linear and Logistic Regression Modeling
This workshop will walk you through the R functionality you can use to compute correlations between continuous variables.
Creating Interactive Data Visualizations in R with RShiny
Learn to make interactive, web-based graphs in R using the RShiny package.