Basic Statistics for Data Science – Part 1

The Science of collecting, organizing, presenting, analyzing and interpreting the data is statistics. It is one of the most important disciplines or methods to get a deeper insight into data. Statistical analysis is implemented to manipulate, summarize and investigate data so that useful information can be obtained.populationvssample

Take away from this post:

  • Types of Statistics: Descriptive vs Inferential
  • Basic terminology like Population vs Sample
  • Types of Variables: Numerical vs Categorical
  • Measures of central tendencies: Mean, Median and Mode and their specific use cases
  • Measures of dispersion/spread: Variance, standard deviation etc.

Continue reading “Basic Statistics for Data Science – Part 1”

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