Building data equity skills for an inclusive workplace
Listen to the EGG NYC 2019 talk too. Learn more about the participation, access, inclusion and representation principles HERE.
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
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.
