Data Science Leadership
Transitioning into a data science leadership role often means spending less time coding and more time in meetings, which can feel daunting. Embrace the fact that continuous learning and applying knowledge are crucial for success, regardless of formal academic backgrounds. Ultimately, the ability to teach and adapt is what defines a leader in this rapidly evolving field.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
SDS 448: How to be a Data Science Leader — with Jon Krohn
Related Questions