From the course: Learning Data Science: Using Agile Methodology
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Break down your work
From the course: Learning Data Science: Using Agile Methodology
Break down your work
- By now you've seen the difference between the software development and the data science lifecycle. You've also seen how the data science lifecycle is best delivered in two week sprints. These sprints allow you to break down the work and quickly deliver valuable insights. When you're on a data science team, there are always large data sets that need scrubbing. There's also new data sources to explore. A lot of what you're doing is preparing your data. When you work in sprints, you're forcing a team to do the minimum amount of data preparation. Doing the minimum amount of preparation might sound like a bad thing. Most people want to do higher quality work, plus there's a lot of emphasis in organizations on preparation. In actuality, when you do the minimum amount of prep, you're forcing the team to focus on insights, and not just on capability. You don't want your team spending weeks or even months just setting up the data. Instead, you want the team to almost immediately start…
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