Explicit Measures Podcast 418: What Does Education Look Like for a Data Scientist in the Age of Fabric?
May 1, 2025
In this discussion, Ginger Grant, a data science expert known for her insights on AI and Microsoft Fabric, shares her thoughts on the evolving landscape of data science education. She emphasizes the need for practical learning over traditional degrees, highlighting the importance of real-world experience. The conversation also dives into the role of AI in education and how it can reshape learning experiences. Ginger examines the potential for non-traditional pathways to become data scientists and the significance of effective communication in this tech-driven era.
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Mike Carlo's Education Journey
- Mike Carlo shares his educational journey from mechanical engineering to an incomplete data science degree.
- He learned best through practical application and found academia lagging behind industry technology.
Learning How to Learn Matters Most
- Ginger Grant emphasizes that learning how to learn is the most important skill.
- Schools often fail to teach adaptable learning strategies for continuously evolving tech like Fabric and AI.
Use GitHub to Showcase Skills
- Build a GitHub repository to showcase your projects and skills while learning.
- Continuously document your work to demonstrate ability to employers and maintain portfolio relevance.