Data and Digital Humanities Training Courses

Learn about equity in data, from introductions to the base concepts. Courses include a Data Equity Primer, Foundations of Data Equity and Advancing the Data Equity Framework.

While not exhaustive of all data ethics considerations, these six lessons provide context about data misuse and teach critical thinking skills and questions to ask as you use/gather data. Lessons cover disinformation, bias and fairness, foundations of ethics and ethics toolkit, privacy and surveillance, metrics and venture capital and algorithmic colonialism.

From LinkedIn Learning, this course provides an introduction the basics of data privacy. Approximately 1 hour and 14 min. **Login with your WM credentials

From LinkedIn Learning, this hour long course introduces you to data privacy risks around data sharing and covers ways you can solve privacy risk at all data sharing levels: data, access, identity, transport and storage. **Login with your WM credentials

In this LinkedIn Learning course, you will learn how to create an manage data collection and measure risk, as well as afford privacy protections relative to that risk. Approximately 1.5 hours. **Login with your WM credentials

This LinkedIn Learning course covers risks associated with data sharing, misconceptions related to privacy and data sharing, and strategies for protecting data privacy and making informed data sharing decisions. Approximately 1 hour and 15 min. **Login with your WM credentials