Join Doug Rose for an in-depth discussion in this video Work without objectives, part of Learning Data Science: Using Agile Methodology.
- Your data science team will want to use…the DSLC so they can tell interesting stories each sprint.…These practices will help your team…explore the data and ask interesting questions.…These practices alone should help…get your team focused on exploring.…Still, for many teams, the biggest challenge…will be trying to change your organization's mindset.…Most organizations still see work as a series…of goals and objectives.…That's why most key organizational roles…focus on management and compliance.…The typical project manager ensures…that the team complies with the project plan.…
A lead developer maintains certain coding practices.…A quality assurance manager enforces…standards like Six Sigma.…Even the CEO is focused on setting…clear goals for the rest of the organization.…All these popular roles focus on compliance.…They help ensure that the organization…stays true to their objectives.…The people in these roles tend to be very influential.…Chances are, they want to apply this objective-driven…mindset to your data science team.…
This course shows how to structure your work within a two-week sprint. See how to work within a data science life cycle (DSLC)—a methodology for cycling through questions, research, and reporting every two weeks. Explore key practices to help your team break down the work so it fits within a two-week sprint. Learn how to use tools like question boards to encourage discussion and find essential questions. And most importantly, learn how to grow your team's shared knowledge and avoid common pitfalls.
- Defining data science success
- Determining project challenges and criteria for success
- Using a DSLC
- Iterating through DSLC sprints
- Creating a question board
- Breaking down your work
- Adding to organizational knowledge
- Avoiding pitfalls