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While data engineers build the infrastructure for handling data, data scientists are focused on using that data in order to gain insights and use them for decision-making. Data Science is a field that combines statistics, machine learning and data visualization to extract meaningful insights from vast amounts of raw data and make informed decisions, helping businesses and industries to optimize their operations and predict future trends. At its heart, data science combines mathematics, statistics, computer science, and domain expertise to analyze and interpret data. It involves collecting information, cleaning it, studying it with algorithms, and transforming it into insights that people and organizations can use. While data science uses descriptive data, it typically uses it to determine predictive variables, which are then used to categorize data or to make forecasts. Data science and BI are not mutually exclusive, digitally savvy organizations use both to fully understand and extract value from their data.

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