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Data scientists use statistical analysis.
However, data scientists need to be familiar with statistics, among other areas.
In some cases, people with a background or education in statistics can gain additional knowledge through a degree program or job training and begin a data science career.
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Yes, data science heavily relies on statistics. Statistics provides the foundational principles and methods for analyzing and interpreting data. It encompasses techniques for summarizing data, making inferences, testing hypotheses, and modeling relationships between variables. In data science, statistical knowledge is essential for understanding data distributions, assessing uncertainty, building predictive models, and deriving meaningful insights from data. Therefore, a solid understanding of statistics is fundamental for effectively performing data analysis and making informed decisions in data science projects.
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