What is the difference between Data Science and Data Analytics?

Question

What is the difference between Data Science and Data Analytics?

Answer 1

Data Science - Data Science is a combination of various tools, machine learning principles, and algorithms to find patterns from the raw data. Data science specialists use many different techniques to achieve answers, incorporating computer science, predictive analytics, statistics, and machine learning to parse through huge datasets to build solutions to problems that haven’t been discovered.

Data Analytics - It is the method for developing productivity and business gain. Here datasets are examined to conclude the information they contain. Information is delivered and classified to identify and analyze conduct information, and different techniques are there according to organizational requirements. We also called it Data Analysis. More simply, the field of data and analytics is focused on solving problems for questions we know we don’t know the answers to. More importantly, it’s based on producing results that can lead to immediate improvements.

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