Building data equity skills for an inclusive workplace
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.
Brandeis H Marshall
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.