Building data equity skills for an inclusive workplace
About
Data science has emerged as a separate interdisciplinary field. It is regularly applied in the workplace; in fact, many of you may be data science practitioners by proxy – having to process and interpret data without a formal data related background. In order to stay competitive in the tech space, professionals need to expand their understanding of data science and apply these practices to real-world problems. We center data equity in our trainings and events to help organizations, teams and individuals be more inclusive with their data.
Our Offerings
DataedX's Resource Picks
 Getting Started in Data Science by Ayodele Odubela |  Advanced Analytics in Power BI with R and Python Ingesting, Transforming, Visualizing by Ryan Wade |  Bite-Size Python: An Introduction to Python Programming by April Speight |  Algorithms of Oppression How Search Engines Reinforce Racism by Safiya Umoja Noble |
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 Race After Technology: Abolitionist Tools for the New Jim Code by Ruha Benjamin |  Shifting The Double Lives of Black Women in America by Charisse Jones and Kumea Shorter-Gooden |  Weapons of Math Destruction: How Big Data increases inequality and threatens democracy by Cathy O'Neil |  Who Gets What — and Why: The New Economics of Matchmaking and Market Design by Alvin E. Roth |
 Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor by Virginia Eubanks |
Brandeis H Marshall
co-founder, ceo
With 15+ years as a computer science scholar and educator, Brandeis is a skilled explainer who has a knack of making difficult concepts easier to understand, regardless of a person's educational background. She shares the racial, gender and socioeconomic impact of data in technology.
Susan R Geier
co-founder, coo
Susan's first career in small business management spanned 15+ years. She also has 10 years experience in program development, evaluation, and management. Her work focuses on adult learning, career management, and enhancing educational outreach programs.
