Databases Reference
In-Depth Information
A Day in the Life of a Data Scientist
Data science is a multi-disciplinary set of skills bringing together scientific methods,
data and software engineering approaches, statistics, and visualization techniques. This
section is not an elaborate discussion of these disciplines but meant to bring all of these
different skills together to describe various activities a data scientist needs to perform
during the course of a day.
Data science, as practiced today, requires proficiency in parallel business domain
knowledge, advanced statistics, machine learning, and intensive programming skills
like map-reduce computing, petabyte-sized No SQL databases, etc. In addition data
science is also about having a mind-set that lends itself to experimentations and to
the ability to construct a story line around data. In Figure
9-4
is a schematic diagram
outlining the activities a data scientist performs during the course of solving a business
problem.
