Data science vs Data analytics

Difference between Data science and Data analytics






















Data science is a broad field that encompasses various techniques and tools used to extract insights and knowledge from data. It involves using statistical, machine learning, and programming methods to analyze and interpret large sets of data. Data science also involves the use of visualization and communication techniques to present findings and make data-driven decisions.
Data analytics, on the other hand, is a subset of data science that focuses on the analysis and interpretation of data. It involves using tools and techniques to extract insights and knowledge from data, such as statistical analysis, data mining, and visualization. Data analytics is often used in business and industry to make data-driven decisions and improve operations.

In summary, data science is a broader field that includes data analytics as well as other techniques, while data analytics is a specific application of data science that focuses on the analysis and interpretation of data.

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