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Updated June 2026
Building an Effective Data Science Project Portfolio
What actually makes a data science portfolio stand out — project selection, storytelling, and demonstrating judgment and impact rather than technical execution alone.
A strong data science portfolio isn’t a collection of models — it’s evidence of judgment. What sets candidates apart is project selection, the story they tell about their choices, and proof they can connect technical work to real impact, not technical execution alone. This talk walks through how to build a portfolio that demonstrates exactly that.
Step through the deck above, or open it full-screen using the controls.