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How important are statistics for data analytics?

Statistics are the backbone of Data Analytics and, therefore, of prime importance while deciphering data. They enable analysts to find patterns, relations, and trends in the data set so that businesses can take decisions based on facts and with a great amount of confidence. Descriptive statistics-mean, median, standard deviation-correlation and regression-are necessary concepts while summarizing data and prediction of outcomes.
In the context of a Data Analytics course at SevenMentor, learners are trained to apply statistical methods using tools like Excel, Python, and Power BI in performing descriptive and inferential analysis. A grasp of statistics by analysts helps validate results, removes bias, and makes sure that insights become reliable and actionable. Whether it's forecasting sales, analyzing customer behavior, or optimizing operations, a deep understanding of statistics will empower Data Analysts to change the raw numbers into meaningful business insight.

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Data Analytics Classes in Pune

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