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Podcast Leading the Charge for Diversity in Data Science

Featuring Sadie St. Lawrence, Founder and CEO of Women in Data

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In building data science teams, achieving a diversity of people, approaches, and points of view is not just desirable—it is critical.

Yet, data science, like most STEM fields, still has a daunting diversity problem. 

As a trained data scientist and woman, this was clear to Sadie St. Lawrence at the start of her career. It was this reality and her desire for community that pushed her to take a leap of faith and start Women in Data — an international nonprofit organization working to close the gender gap in technology and data science. 

Women in Data has been rated as the #1 Community for Women in AI and Tech, and is leading the movement to close the gender gap and increase diversity in data careers. Currently, Women in Data is in 15 countries with over 45 chapters, and has a community of over 20,000 individuals.

In addition to being Founder and CEO of Women in Data, Sadie was the first female data science teacher to teach on the Coursera platform. She has trained over 300,000 people in data science. Her work has been featured in USA Today, Dataversity, and she is the recipient of the Outstanding Service award from UC Davis.

In this episode of Leading with Data, Sadie sits down with us to share how her organization achieves their mission through data science awareness, education, and career advancement. 

We also dive deeper into:

  • Women in Data’s origin story
  • Building courage like a muscle
  • Sadie’s vision for the future of the organization
  • The future of data science education
  • Advice for teaching online courses
  • A case study on digital transformation in farming
  • The speed of innovation and the need for “in-time job training”
  • Why businesses need to bring apprenticeships back
  • Taking a “parental” approach to AI

Check out these resources that were mentioned in the show:

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