what is the difference between data analyst and data scientist
The major difference between a data analyst and a data scientist includes-
1. A Data scientist's role is to predict future supported past patterns using several techniques and methods. While a Data analyst finds meaningful information from data.
2. The role of a data scientist is to come up with his or her own questions. But a data analyst finds the answers to other set of queries.
If you want to know more about each of these careers then you can read the following articles:
The Data science and Data Analytics is almost same. Data science has scope than Data Analytics. A data scientist is who predict the future based on past data whereas a data analyst is one who insights from data. Data scientist is one who estimate the unknown why the data analyst job role install look from new prospective. data scientist generate their own questions where as a data analyst finds answers to a given set of questions from data available. Both data analyst and data scientist have good scope in future. But data science has more scope the data analyst.


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