Terms and definitions from all courses

Statistic: A characteristic of a sample
Statistical significance: The claim that the results of a test or experiment are not explainable by chance alone
Statistics: The study of the collection, analysis, and interpretation of data
Story: A Tableau term for a group of dashboards or worksheets assembled into a presentation
Stratified random sample: A probability sampling method that divides a population into groups and randomly selects some members from each group to be in the sample
String: A sequence of characters and punctuation that contains textual information
String literal: A programming string used in code in which characters exist as the value themselves, rather than as variables String slice: The portion of a string that can contain more than one character; also referred to as a substring


Structuring: The process of taking raw data and organizing or transforming it to be more easily visualized, explained, or modeled; one of the six practices of EDA
Subjective probability: A type of probability based on personal feelings, experience, or judgment


Sum of squared residuals (SSR): The sum of the squared difference between each observed value and its associated predicted value
Summary statistics: A method that summarizes data using a single number
Supervised machine learning: A category of machine learning that uses labeled datasets to train algorithms to classify or predict outcomes
Supervised model: A machine learning model that is used to make predictions about unseen events
symmetric_difference(): A function that finds elements from both sets that are mutually not present in the other


Syntax: The structure of code words, symbols, placement, and punctuation Systematic random sample: A probability sampling method that puts every member of a population into an ordered sequence, chooses a random starting point in the sequence, and selects members for the sample at regular intervals