Join Doug Rose for an in-depth discussion in this video Set success criteria, part of Learning Data Science: Using Agile Methodology.
- In a 1921 interview, Thomas Edison said…that his assistant was discouraged…by their failed experiments.…The famous inventor was cheery…and assured them that they hadn't failed.…They were always learning something new.…Once they learned something,…they were free to try it a different way.…Today we know Thomas Edison was right…because of his many successes.…A few of them are still in use today.…There were also a few experiments that were lost to history.…Not many people still play on their concrete piano.…
We have the benefit of looking at this legacy…through a string of successes.…We don't see the failed experiments…that took up most of his time.…If you were in Edison's lab,…it might be difficult to imagine his successes.…In fact, it might not look like…Edison would ever be successful,…because there were many more failures than successes.…If Edison were using modern project management,…he would've run into a couple of challenges.…How would he define a success?…He couldn't look for the things that work.…
If you did, you need a lot of patience.…
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