The fundamental stages of the data science lifecycle.

Key indicators of a successful data science team.

Strategies for breaking down silos between marketing, technology, and data science departments.

Best practices for maximizing collaboration opportunities throughout a project.

Techniques for formulating impactful hypotheses and defining business questions that drive real-world results.