Data Science And Its Importance

By Author: padmini atluri
Total Articles: 1
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. Mining large amounts of structured and unstructured data in order to identify patterns can help an organization to increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage.
The data science field employs mathematics, statistics and computer science disciplines, and techniques like machine learning, cluster analysis, data mining and visualization.
It helps to turn raw data into valuable business information. Data extraction is the act of retrieving specific data from unstructured or poorly structured data sources for further processing and investigation. Data scientists must possess a combination of analytic, machine learning, data mining and statistical skills, as well as experience with algorithms and coding.

Applications / Uses of Data Science

Using data science, companies have become intelligent enough to push & sell products as per customers purchasing power & interest.

Banking
Finance
Manufacturing
Transport
Healthcare
Ecommerce
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