Why become a Data Scientist?

There are lot of reasons as to why someone would want to become a Data Scientist. The most important reason could be that it is the most in-demand job title in the world and it will remain to be so for years to come. Data has been pouring from all sides. Every minute the amount of data that is being generated is colossal. Data could be text messages, Facebook posts, tweets/re-tweets, YouTube videos, e-mails and anything at all. As if humans were not enough to generate data now even the devices and appliances are also generating data thanks to another emerging technology, Internet of Things. Companies are investing millions of dollars to capture, store and manage data. All this data and the efforts towards maintaining it would be useless, if there is no Data Science or there is no Data Scientist to be specific. Data Scientists are the ones who can make sense of the stacks and stacks of data. They are the ones who can extract insights from data (through advanced analytics), which is not possible through traditional analytics.

 

The major difference between traditional data analyst and Data scientist is that to be a Data Scientist, one, along with having a thorough knowledge of advanced analytics, should also be the domain expert. Where a useful piece of information can make millions for the company, a simple mistake could also cost the company dearly. This is the reason companies are very particular about hiring Data Scientist and this is also the reason the demand for Data scientists is increasingly exponentially. 

If you want to make a career in the wonderful world of Data Science and are planning to do data science with python certification course, make sure you are doing it from the best possible training provider.  Most important thing about Data Science course is the hands-on experience. Cognixia is an award winning training provider, if you have any question regarding Data Science in general or how can you get yourself trained on Data Science or if you need more information about the future of data science, please feel free to get in touch with us.