Learning Data Science: Using Agile Methodology

Deliver valuable data science insights every two weeks. Learn how to work within the data science life cycle (DSLC) and break down your work with tools such as question boards.

Introduction

• Welcome

1. Define Data Science Success

• Review a typical project
• Work on a data science project
• Compare project challenges
• Set success criteria

2. Use a Data Science Lifecycle (DSLC)

• Use a DSLC
• See how to use a DSLC
• Loop through questions
• Iterate through DSLC sprints

3. Work in Sprints

• Create a question board
• Focus on just a few meetings
• Break down your work
• Tell an interesting story

4. Evolve Greater Knowledge

• Work without objectives
• Rely on serendipity
• Add to organizational knowledge

5. Avoid Pitfalls

• Work without exploring
• Ignore business value

Conclusion

• Next steps