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 

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Find yourself handling data? Let us help expand your knowledge.

WHAT PEOPLE SAY

—  Janeya Griffin, Founder and CEO of The Commercializer

“Just finished a bootcamp to learn about Data Science for us by us. Y'all Black Women are Amazing! I love Y'all! #datascienceexecutives

 

DataedX's Resource Picks

Getting Started in Data Science

Getting Started in Data Science by Ayodele Odubela

Advanced Analytics in Power BI with R and Python Ingesting, Transforming, Visualizing

Advanced Analytics in Power BI with R and Python Ingesting, Transforming, Visualizing by Ryan Wade

Bite-Size Python: An Introduction to Python Programming

Bite-Size Python: An Introduction to Python Programming by April Speight

Algorithms of Oppression How Search Engines Reinforce Racism

Algorithms of Oppression How Search Engines Reinforce Racism by Safiya Umoja Noble

Race After Technology: Abolitionist Tools for the New Jim Code

Race After Technology: Abolitionist Tools for the New Jim Code by Ruha Benjamin

Shifting The Double Lives of Black Women in America

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

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

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

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. 

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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. 

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© 2020  The DataedX Group, LLC.

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Bite-Size Python: An Introduction to Python Programming

Bite-Size Python: An Introduction to Python Programming by April Speight

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