A panel discussion recap from GovTech's STACK conference exploring whether Agile methodologies can be applied to data science teams. Key takeaways include treating Agile as a mindset of iterative cycles and continuous feedback rather than a rigid process, how data science deliverables (analyses, hypothesis tests, visualizations) can fit into Agile sprints, the dangers of waterfall-style planning in data science projects, and career advice for new graduates to build a portfolio. The discussion references the Agile Manifesto's 'People over processes' principle as the core guiding philosophy.
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