Using GTD Productivity Method to Understand Data Science Lifecycles like CRISP-DM

Ever fallen down a rabbit hole of productivity — seeking to be the most effective person possible? If you’re like me, you’ve read all the books:

• Cal Newport’s Deep Work
• Daniel Kahneman’s Thinking Fast and Slow
• Daniel Levitin’s The Organized Mind
• Stephen Covey’s Seven Habits of Highly Effective People
• David Allen’s Get Things Done, and many more…

Perhaps you’ve even downloaded all the apps…

• Todoist
• Any.do
• RescueTime
• Evernote
• OmniFocus, etc.

Well, I’m not here to bring you out of the hole. Rather, I’ll provide you a new way to apply the theoretical framework of that last book, David Allen’s Get Things Done — to understanding the lifecycle of data science.

Having just started studying Data Science, like any new student (or former student learning to learn again…) I’ve found the quickest way to grasp a new concept is to see the applications of a similar a theory in a familiar context. (Sidebar — shoutout to all my Georgetown University SFS Hoyas who graduated with the solid skills of…understanding paradigms and paradoxes :-P). So at the beginning of my course I read the second lesson about the “Data Science Process”, which entailed the following steps: Business Understanding…