### Basic Statistical Concepts for Data Science

As a data scientist, it is important to have a deep understanding of statistics. Here, I introduce basic statistical concepts and quantities. Types of measurements and variables Important statistical concepts include the following: Types of measurement scales Nomenclature for variables: dependent vs independent variables Statistical quantities You should definitely know about the following, frequently used statistical quantities: Centrality measures: mean and median, mode Measure of dispersion: standard deviation, variance, covariance, interquartile-range Interval estimates: confidence intervals Probability distributions Commonly occuring probability distributions are: