Understanding the Difference Between Primary and Secondary Data
Understanding the differences between primary and secondary data enhances research effectiveness and decision-making.
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Data science is an interdisciplinary field that involves the use of statistical and computational methods to extract insights and knowledge from data. It combines techniques from statistics, mathematics, computer science, and domain-specific expertise to analyze and interpret complex data sets.
Data science involves various stages, such as data collection, data cleaning, data analysis, and data visualization. It also includes machine learning, which involves using algorithms and statistical models to build predictive models and make automated decisions.