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Can anyone explain how much statistics needed for data science?

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Statistical knowledge is very important in Data Science to analyze and interpret the data and make inferences. You should know the following statistical concepts for data science:

  • Measures of central tendency and measures of variance
  • Probability distributions
  • Sampling methods
  • Dimensionality reduction
  • Hypothesis testing
  • Bayesian Statistics

You can watch this video to know how much statistics needed for data science:

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