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Prioritization for Data Work

Prioritization in data work is the selection of tasks that are both innovative and impactful. Adopting a scientific framework, including first principles approach and second order thinking, can help with breaking down problems and understanding their complexities. Consistency and documenting evidence enhances prioritization methodologies over time. Avoid focusing only on reporting or engaging in irrelevant tasks for optimal results.
  1. Learn Prioritization for Data Work with the Practica AI Coach

    The Practica AI Coach helps you improve in Prioritization for Data Work by using your current work challenges as opportunities to improve. The AI Coach will ask you questions, instruct you on concepts and tactics, and give you feedback as you make progress.
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