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The Data Stack Show

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

Oct 16, 2024
Angelica 'Jelly' Spratley is a Senior Data Science Instructor at Flatiron School, with a background in data consulting for higher education and pharmaceuticals. In this conversation, she delves into her transition from teaching to data science, emphasizing lifelong learning and the importance of industry-ready skills. She discusses navigating the shift between technical and managerial roles, fostering data literacy, and tailoring education to diverse backgrounds. Jelly also shares insights on remote work dynamics and collaboration in AI safety, blending practical advice with personal experiences.
47:21

Podcast summary created with Snipd AI

Quick takeaways

  • Angelica Spratley emphasizes the necessity of practical, project-based learning to bridge the gap between academic theory and industry demands.
  • Concerns regarding AI's impact on jobs are addressed, highlighting the continued value of human oversight and ethical considerations in data science careers.

Deep dives

Angelica Jelly Spratley's Background in Data Science

Angelica Jelly Spratley transitioned from being a high school engineering teacher to a role in data science, where she has become a senior data science instructor and content developer at Flatiron School. She has extensive experience working as a data consultant in the higher education and pharmaceutical industries, which enriches her teaching approach. Jelly emphasizes the importance of practical, hands-on experiences for her students, ensuring that courses are tailored to meet industry demands rather than just theoretical knowledge. Her journey illustrates the versatility of backgrounds that can lead into data science, encouraging others to consider similar paths.

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