Data & Visualization Instruction Support
The Data & Visualization Services department provides instruction on a variety of topics, including orienting students to our data & visualization resources and services, effective visualization design, and how to create charts and analyze data using tools like Tableau, Excel, R and Python. Below are descriptions for some of our most popular instruction offerings.
To collaborate with a DVS instructor on one of these courses, please get in touch at least two weeks ahead of the session. You can request an instruction session or sign up for one of our currently scheduled Data and Visualization Workshops. Contact us if you have questions about the sessions below.
Getting Started with Data Sources and Resources
This session is a hands-on orientation to data analysis and visualization services at the library and easy-to-use data resources. Students will learn about simple mapping tools, Census data, tools to create infographics and interactive visualizations, different data formats, and much more. One 60 minute session recommended.
Elements of Visualization Design
This session is an interactive workshop that guides students on how to choose the best chart types for their data and includes a primer on design principles. We offer two versions, one with a hands-on visualization makeover using Google Sheets, and another that includes group discussion of participant-provided visualizations. At least one 90 minute session recommended.
Getting Started with Data Analysis & Creating Graphs
This session introduces students to core data concepts, visualization principles, and easy-to-use tools to create charts and graphs, such as Tableau or Excel. At least one 90 minute session recommended.
Introduction to R or Python for Data Analysis
This session introduces students to core data principles and data analysis and visualization using R or Python. At least two to three 90 minute sessions recommended.
Geospatial Data and Software
We can lead a custom session that includes finding and appropriately using GIS data such as Census demographics, natural resources, infrastructure and planimetrics, historical data, and more. Assistance with visualization and analysis of data within GIS software, including ArcGIS Online, ArcGIS Pro, and QGIS are also available.