Join Doug Rose for an in-depth discussion in this video Work without exploring, part of Learning Data Science: Using Agile Methodology.
- In 1999, two psychologists ran an experiment.…They filmed a video of six people passing a ball.…They showed the video to 40 students.…They asked the students to count how many times…the ball passed from one person to the next.…Most of the students were able…to count how many times the ball passed.…What they didn't see was that a student in a gorilla suit…walked across the middle of the screen.…The gorilla stopped in the center…and then walked off camera. When they asked the students,…nearly half didn't notice the gorilla.…
In fact, they were so convinced that there wasn't a gorilla…that they had to re-show those students the video.…The psychologist published the results…and called this perceptual blindness.…It's when people are so focused on routine tasks…that they're blind to unexpected events.…The students watching the video were so focused…on counting the ball, that they…didn't notice someone in a gorilla suit.…The study has been repeated dozens of times.…They put a small image of a dancing gorilla…on a CT scan to see if radiologists would notice.…
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