AI Snips
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Learning Agility is Key
- Success in data science demands constant learning and adapting since the field evolves rapidly.
- The ability to learn on the job is more important than initial deep expertise.
Data Prep Dominates Work
- Data preparation and cleaning constitute about 80% of data science work across industries.
- Managing data governance and metadata will become increasingly important in large organizations.
Include All Stakeholders
- Keep all stakeholders involved in data science projects to avoid miscommunications and misaligned solutions.
- Facilitate collaboration between developers, analysts, and business users for better outcomes.