Transitioning into Data Science
Himani Agrawal discusses her transition into data science and the valuable experiences she gained through the galvanized program, internships, and additional courses. She shares insights on the similarities between optimization problems in academia and data science in the tech industry. Himani encourages individuals from different backgrounds to enter the field, emphasizing the scarcity of expertise and the potential for creativity. Daniel Whitenack also shares his own transition experience and recommends resources for learning the necessary jargon.In this clip
From this podcast
Practical AI
Getting into data science and AI
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