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Episode 211:

From Classroom to Data Science: Career Advice and AI Trends with Angelica ‘Jelly’ Spratley

October 16, 2024

This week on The Data Stack Show, Eric and John welcome Angelica “Jelly” Spratley, a senior data science instructor and content creator at Flatiron School. Jelly shares her journey into data science, her experiences at the Disney Data and Analytics Conference, and her role at Flatiron School. Key topics include the importance of being industry-ready, project-based learning, and self-advocacy in professional development. Jelly also discusses the challenges of working under non-technical managers and the value of technical knowledge in leadership while also data work to business value and continuous learning. Don’t miss this great episode!

Notes:

Highlights from this week’s conversation include:

  • Disney Data and Analytics Conference (1:15)
  • Flatiron School Overview (3:51)
  • Defining Industry-Ready (4:48)
  • Transitioning to Data Science (6:33)
  • Teaching KPIs (8:10)
  • Self-Advocacy in Career Development (11:22)
  • Managerial Credibility (16:11)
  • Bridging Academic and Industry Gaps (19:30)
  • Managing Projects with Non-Technical Stakeholders (21:35)
  • Transitioning from Industry to Teaching (23:38)
  • Relating Data Science to Personal Interests (25:32)
  • Creating Engaging Learning Experiences (28:42)
  • Involvement in Data Literacy Organizations (31:09)
  • Addressing AI Concerns in Education (34:16)
  • Collaboration for AI Safety (38:22)
  • Remote Work Trends (41:09)
  • Productivity in Remote vs. Office Settings (44:11)
  • Final Thoughts and Takeaways (46:13)

 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

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Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

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