In the last three years, the number of job postings for data scientists, analysts, Python and R experts has increased greatly. Much like the Gold Rush, everyone is migrating to these highly prized and challenging careers to explore data, big and small, and produce analytical summaries and descriptions of the meaning and impact it may have to their organization or even humankind.
We have all seen the deductions, trends, predictive and what-if analysis that many of these brilliant people can perform using everything from Excel to the most sophisticated piece of software and hardware. But, much like the gold rush, all good things come to an end. The amount of data, its complexity and the edge cases around data sets may be too much for one person, regardless of how gifted they are, to even attempt to dig into the data.
Author: Shree Neve