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Lynda - Learning Data Science: Using Agile Methodology - 477448
Lynda - Learning Data Science: Using Agile Methodology
A data science team asks great questions, explores the data, and delivers key insights. But at the end of the day your team needs to add real business value. Even the best data science teams won't last long in your organization if they can't generate revenue or lower expenses. The best way to generate business value is to deliver a constant stream of key insights in short two-week sprints. These short sprints give you real-time feedback to help keep your team on track. A short sprint will also help your team pivot so they can ask new questions based on what they learn from the data.


Table of Contents

  • Introduction
  • 1. Define Data Science Success
  • 2. Use a Data Science Lifecycle (DSLC)
  • 3. Work in Sprints
  • 4. Evolve Greater Knowledge
  • 5. Avoid Pitfalls
  • Conclusion
  • Lynda - Learning Data Science: Using Agile Methodology


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