Learning Data Science: Using Agile Methodology

Description

In this course, you will :

• Demonstrates how to structure your work over the course of a two-week sprint. Learn how to work within a data science life cycle (DSLC), a two-week cycle of questions, research, and reporting.
• Investigate key practises to assist your team in breaking down the work so that it can be completed in a two-week sprint.
• Learn how to use tools such as question boards to promote discussion and identify key questions. Most importantly, learn how to expand your team's collective knowledge while avoiding common pitfalls.

Syllabus :

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

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