Terms and definitions from all courses

Root node: The first node of the tree, where the first decision is made

S

Sample: A segment of a population that is representative of the entire population


Sample size: The number of individuals or items chosen for a study or experiment


Sample space: The set of all possible values for a random variable
Sampling: The process of selecting a subset of data from a population


Sampling bias: Refers to when a sample is not representative of the population as a whole


Sampling distribution: A probability distribution of a sample statistic
Sampling frame: A list of all the items in a target population
Sampling variability: Refers to how much an estimate varies between samples


Sampling with replacement: Refers to when a population element can be selected more than one time
Sampling without replacement: Refers to when a population element can be selected only one time


Scatterplot matrix: A series of scatterplots that show the relationships between pairs of variables
Script: A collection of commands in a file designed to be executed like a program


Seaborn: A visualization library based on matplotlib that provides a simpler interface for working with common plots and graphs
Second-party data: Data that was gathered outside your organization directly from the original source


Self: A parameter passed to a method or attributes used to instantiate an object


Self-documenting code: Code written in a way that is readable and makes its purpose clear
Semantics: Refers to the variables and objects that give meaning to Python code
Sequence: A positionally-ordered collection of items
Series: A one-dimensional labeled array capable of holding any data type
Set: A data structure in Python that contains only unordered, non-interchangeable elements; a Tableau term for a custom field of data created from a larger dataset based on custom conditions