Data Scientists and Data Analysts are Not Same

As data science is a new field, popping up certain misconceptions is inevitable. The reality is, the work of data scientists and data analysts is totally different. Whereas data analysts work on finding the trends and analyzing the data, data scientists work on finding the cause of a trend and forecasting the upcoming trends. However the two complement eachother and work interconnected for a common goal.

Some basic differences:

Data Scientist	Data Analyst
Discovers unexplored questions that may need an answer.	Uses existing information to get workable data on existing questions
Skillset: Algorithms, data mining, programming, database management, data analysis, machine learning, predictive analysis	Skillset: Data mining, modeling, programming, statistical analysis, database management, data analysis
They estimate the unknown data	They work with known data set
They choose to address business problems that would have maximum effect	They address the business problem assigned to them
They work at a macro-level	They work at a micro-level

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