Difference Between Data Scientist and Data Analyst
Jobs related to Data Science have topped the charts in job portals. There are job openings for various job titles like Data Scientists, Data Analysts, and Data Engineers. Though all these job titles deal with data and sound similar, they do have a number of detailed differences. Ever wondered how different they are from each other? I did! And here are the differences I found between a Data Scientist and a Data Analyst.
Data Scientist – Rock Star of IT
A Data Scientist is a professional who understands data from a business point of view. He is in charge of making predictions to help businesses take accurate decisions. Data scientists come with a solid foundation of computer applications, modeling, statistics and math. What sets them apart is their brilliance in business coupled with great communication skills, to deal with both business and IT leaders. They are efficient in picking the right problems, which will add value to the organization after resolving it.
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A Data Scientist can also be divided into 4 different roles based on their skill sets.
- Data Researcher
- Data Developers
- Data Creatives
- Data Businesspeople
Data Analysts – No Cool Tag Yet!
Data Analysts also plays a major role in Data Science. They perform a variety of tasks related to collecting, organizing data and obtaining statistical information out of them. They are also responsible to present the data in the form of charts, graphs and tables and use 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
Qualification Required for Data Scientists and Data Analysts
Jobs Trends of Data Scientist and Data Analytics – As per Google Trends
Here is the trend for Data Analysts jobs as per google :
Here is the trend for Data Scientists jobs as per google with the trend picking up mostly from 2012: