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Map and Data Library Tutorials

Map and Data Library Tutorials

Self-paced Online Courses

Working with Messy Data in OpenRefine

Through a combination of videos, web pages, quizzes, and activities, this self-paced online course will provide an introduction to OpenRefine, a powerful open source tool for exploring, cleaning and manipulating “messy” data. Through demonstrations and hands-on activities, using a variety of datasets, participants will learn how to explore and identify patterns in data, normalize data, transform and reshape data, and more.

Time Commitment:  The total time to watch the videos at normal speed is 1 hour, 15 minutes (approx.). There is an additional 1 hour of activities (approx.).

Self-enroll for the course using your UTORID credentials.

Introduction to R

Through a combination of videos, web pages, quizzes, and activities, this self-paced online course will provide an introduction to R using RStudio. The topics covered are importing and exploring data, graphs, managing data, tidyverse and R markdown.

Time Commitment:  The total time to watch the videos at normal speed is 2 hours (approx.).

Self-enroll for the course using your UTORID credentials.

WEBINAR SERIES – Snacking on Bits and Bytes: Learning on all things Data

The Map & Data Library’s new webinar series is still going strong. See the schedule and descriptions of sessions to learn more and register. Talks on using python with ArcGIS Pro, Dataverse, and R are all coming up! Hope to see you there!