Difference between Data scientists & business analysts

Business analysts are professionals who look into the ever changing needs of any business and assist them in implementing those changes. They form a bridge of communication between various departments in a business organisation to execute any business plan.

Data scientists are responsible for developing algorithms and drawing data inferences. Since data science aims at unveiling complex data patterns by studying and understanding data sets, it is important that data scientists are well versed in multidisciplinary skill sets.


Both these roles are in fact, similar in a lot of ways since both involve data gathering, inference accumulation,and data modelling. The scope of data science and business analytics often overlap and the skill sets are not mutually exclusive. In any business environment, data scientists and business analysts work closely to understand and implement strategies. However, there are certain differences between these two branches that aspiring professionals must consider to understand which is best suited for them. Typically, data science can be taken up by early career professionals but business analytics is better suited for professionals with experience in business development, technology and project management.

Data scientists and business analysts are expected to constantly upskill and keep abreast of the latest technologies and developments in their respective fields. Clearly, the decision cannot be an impulsive one. Learn the difference between data scientists and business analysts and get to know your area of interest. Refer to the curriculum of data science and business analysis of GREAT LEARNING for further details so that you are certain of the path you choose.


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