Engaging with data can take many forms: you may be answering questions about data, you may be using data to answer a question, you may be visualizing data. Some data and tools are based in specific disciplines, while others are cross-disciplinary.
Are you struggling to find the right kind of visualization to accurately, or interestingly represent your data? Check out our guide on Choosing a Visualization.
We offer a number of in-person classes throughout the academic year as well as online resources. To see our current workshops, visit our workshops page. Online, asynchronous workshops are linked below.
Foundational Data Skills
Analysis of Numerical Data
Microsoft Excel
OpenRefine
PowerBI
Python
RStudio
Tableau
Analysis of Qualitative Data
NVIVO
Taguette
Analysis of Textual Data (text mining, web scraping, corpora)
OpenRefine
Voyant Tools
Evidence Synthesis
Covidence
Research Data Management
Dataverse: Data Deposit and Sharing
Introduction to Data Management Plans
Open Science Framework (OSF)
Project Management/Research Data Management
RDM for Reproducible Research
Visualizing Geospatial Data
ArcGIS Online
Introduction to QGIS
Visualizing Humanities Data
Omeka
Spotlight
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