Saturday, 26 August 2017

Data Scientist Vs Data Analyst

Data scientist nowadays are the real Rockstar of the IT industry, the professionals who work from the business point of view and make certain predictions and assumptions to help to grow the business.
They are very much efficient picking up the right problems and solving those problems will add a value to the organisation they are working for.According to the Havard Business Review 'Data Scientist' is said to be the sexiest job of the 21st Century. 

A Data Scientist can also be divided into 4 different roles based on their skill sets.

  • Data Researcher
  • Data Developers
  • Data Creatives
  • Data Businesspeople

Skills Required for Data Scientist and Data Analyst

Source Credit:Edureka

Data Analyst on the other hand also plays a major role in Data science but they are yet to receive any cool Tag yet.They perform Different types of tasks regarding the collection, organizing data and obtaining statistical information out of the data. Data Analyst presents those data in the form of charts, graphs, and tables and uses the same to build relational databases for organizations.

A Data Analyst can also be divided into 4 different roles based on their skill sets.

  • Data Architects
  • Database Administrators
  • Analytics Engineer
  • Operations
But all these difference doesn't matter to a great extent because one cannot be successful without others.So if one is good at any of the above he/she has a great industry value now as well as in future.

Salary Comparision

Learn Data Science and Data Analyst, Boost your career in any of the fields.












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