Join Doug Rose for an in-depth discussion in this video Create a question board, part of Learning Data Science: Using Agile Methodology.
- When you're working on your data science team,…it's your research lead who's responsible…for driving interesting questions.…Coming up with good questions isn't an easy task.…A good question can stir up a lot of new information.…It forces people to rethink their work.…That's why most organizations tend to shy away…from good questions.…A good question can cause some irritation.…You're almost always itching to find the best answer.…That can lead to a lot of work…and sometimes even more questions.…
In many organizations very few people tend to ask questions.…In fact, usually only the best managers ask good questions.…But even managers take a risk when asking questions.…Too many questions are often seen as being…not on the same page.…Even today most organizations still try to focus…on improving what they know.…They figure that optimization will always…put them ahead of their competitors.…Good questions can often shake up well-ordered plans.…
That's why they're usually left unasked.…Good questions have a tendency to break up predictability.…
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