Prologue
We begin at the end of the “winter” of RDADA. We weary data scientists are seeking refuge from the cold, bitter, and irrational world of data-dismissive decision “faking”. We are eager to transform the status quo through the power of data science, but we are also worried about which opportunities are promising and which are dead ends. When mission-critical issues are at stake, stressed-out managers either militate against our crackpot schemes, or on the contrary, they fuel the hype by making promises we don’t know how to keep.
Week | Perform | Compose | Review |
---|---|---|---|
1 | 100% |