Request a Data Training Session

The Data Science 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 Google Sheets, R and Python. Below are descriptions for some of our most popular instruction offerings. 

To collaborate with a Data Science 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 session topics below.

Designing Data Visualizations for Research Presentations

This session guides students on how to choose the best chart types for their data-related assignment and includes a primer on design principles. A practical component creating visualizations in Google Sheets can be included.
Duration: 60 minutes recommended

Getting Started with Spreadsheets

This session introduces fundamental elements of spreadsheet software needed to work with data, with a focus on those elements most used for the particular research lifecycle stage (such as data collection) that the instructor requests.
Duration: 60 minutes recommended

Cleaning Data with Google Sheets

This session walks through how to do various techniques for cleaning and preparing data using Google Sheets.
Duration: 60 minutes recommended 

Introductory Programming (in R or Python)

This session introduces students to core programming concepts within a coding tool using R or Python. A specified concept or topic focus must be arranged.
Duration: At least 90 minutes, or more depending on request

Geospatial Data and Software/GIS

This session guides students on finding GIS data or how to visually map data within GIS software, such as ArcGIS Online, ArcGIS Pro, and Storymaps.
Duration: 60 minutes recommended, varies per specific focus