Question

difference between data science and data analytics

Answer 1

The difference between data science and data analytics are:

A data scientist job roles involves estimating the unknown whilst a data analyst job roles involves looking at the known from new perspectives and whereas a data scientist is expected to generate their own questions while a data analyst finds answers to a given set of questions from data.

Answer 2

Data science and data analytics seems to be similar but they both are different.

Explanation:

• Data science is the question about the data required for the project and data analytics is the answers for the questions regarding the project.
• Data science researches a wide range of questions related to the projects and collects the data for this project.
• Data analytics looks for all the questions related to the project and collects the answers for all the queries and stores in the database.

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