What is data science and data analytics | data analytics and data science
Data analytics and data science are two closely related fields that involve working with data to extract insights and inform decision-making, but they have distinct differences in focus, methodologies, and objectives. Let's discuss one by one
Data Analytics:
Data analytics primarily focuses on analyzing past or historical data to uncover trends, patterns, and insights that can be used to optimize processes, improve performance, and make data-driven decisions. It involves the use of various analytical and statistical techniques to explore and interpret data.
Data Science:
Data science is a broader interdisciplinary field that encompasses various techniques and methodologies for extracting knowledge and insights from data. It combines elements of mathematics, statistics, computer science, and domain expertise to tackle complex problems and extract value from data.
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In summary, while data analytics focuses on extracting insights from past data to understand, diagnose, predict, and prescribe actions for improving business performance and decision-making. data science encompasses a wide range of activities, including data collection, exploration, analysis, modeling, and communication, with the goal of extracting actionable insights and value from data to solve complex problems and drive business outcomes.
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