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Data science is a discipline, not a rocket Science but not easy enough to handle!
In any field the Analysts are treated as experts in data usage, having different ways of analysing necessary data set which is now turning them into data scientists. To get into this trade you don’t need special educational background, but a grip on computer science for machine programming and mathematics with technology to ascertain statistical programming – a framework to understand where to begin. As always business will look up towards data science to build necessary algorithms, data managements, visualisation Analytics with ‘affordable’ decision making.
A simple thought like this lead me into search of finding necessary information about comparison between Business Analytics and data science. Though both of them are like railway track, both are necessary for every organisation, see the attached infographic (Source: datafloq):
Business analytics vs Data science
Not just with this high-level deep dive information, I’m inclined to show how data science is evolving into multiple disciplines.
Another infographic from Data Science:
Data Science
A simple search on subject matter from your favourite search engine will lead extensive links for your own amusement, good luck.
More later….
This post first appeared on Data Platform Knowledge Sharing Network – SQLSer, please read the originial post: here
