Data Science

Top 10 Statistics Concepts You Should Know for Data Science Interviews

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“Statistics is the grammar of science.” — Karl Pearson

Statistics allows you to understand the data much more deeply. Hence, it is important to understand and implement statistics concepts in your data science job. And that is what is tested in data science job interviews. 💯

I’ve listed here Top 10 statistics concepts with examples and explanations which are you should know.

I know it could be long, but I tried to keep this article short, so that you can finish it quickly and be able to find it useful.

You can jump to your favorite part using the index below.

· Population and Sample
· Descriptive Statistics
· Inferential Statistics
· Mean, Median, Mode — Measures of Central Tendency
  ∘ Mean 
  ∘ Median
  ∘ Mode
· Skewness — Measure of Asymmetry
  ∘ Positive Skewness
  ∘ Negative Skewness
· Dispersion — Measure of Variability
  ∘ Range
  ∘ Variance
  ∘ Standard Deviation
· Covariance and Correlation — Measures of Relationship
  ∘ Positive Correlation
  ∘ Negative Correlation
  ∘ Zero Correlation
· Linear regression and its assumptions
  ∘ Linearity
  ∘…