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What are the important statistical concepts required for data science?

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Statistics is an important prerequisite for Data science. Data scientists use statistical knowledge to analyze and interpret the data and make inferences.

  • Learn these concepts in the same order to learn statistics for Data Science:
  • Measures of central tendency like mean, median, mode
  • Measures of variance like range, IQR, Standard deviation
  • Probability Distributions like Uniform, Normal, Poison distributions
  • Hypothesis testing like Z-test, T-test, Chi-Square Test
  • Dimensionality reductions
  • Sampling techniques
  • Bayesian Statistics

These statistical concepts are important to learn for a data science. A lot of free online resources are available for these concepts.

You can watch this video to know how statistics are used in data science:

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