As we all know the time is of DATA, there is no doubt in the mind when I say the boom in the data industry has driven and taken the demand for data science, data Analyst and Data engineers to the next level, across all industry verticals. There are job openings for data scientists, data engineers, and data analysts. And there seems to be a lot of confusion and lot many different opinions among people regarding the roles and skillsets driving this field. Here we will mostly discuss two major job titles, Data Scientist and Data Analyst.
Let us Understand the Main Difference Between Data Scientist and Data Analyst
I know many of you may not convince with this but yes, there are no defined skill-sets that can distinguish between the role of a ‘Data Scientist’ and ‘Data Analyst’. This is mainly because most of the companies have their own definition and role descriptions. In fact, different companies have different definitions for both these roles, and there is a lot of grey area in between the two job titles. Broadly analyzing, a Data Scientist is a professional who combines data handling and data visualization with sound business understanding to make smart business decisions.
