Course 1 & 2 Vocabulary Flashcards
A question whose answers lead to change
Action-oriented question
A process or set of rules followed for a specific task
Algorithm
Qualities and characteristics associated with using facts to solve problems
Analytical skills
The process of identifying and defining a problem, then solving it by using data in an organized, step-by-step manner
Analytical thinking
A characteristic or quality of data used to label a column in a table
Attribute
A spreadsheet function that returns an average of the values from a selected range
AVERAGE
Large, complex datasets typically involving long periods of time, which enable data analysts to address far-reaching business problems
Big data
Lines that can be added around two or more cells on a spreadsheet
Borders
The question or problem that data analysis resolves for a business
Business task
A cell or a range of cells in a worksheet typically used in formulas and functions
Cell reference
A place to keep data online, rather than a computer hard drive
Cloud
The condition in which something exists or happens
Context
A spreadsheet function that counts the number of cells in a range that meet a specific criteria
COUNT
A tool that monitors live, incoming data
Dashboard
A collection of facts
Data
The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making
Data Analysis
The six phases of ask, prepare, process, analyze, share, and act whose purpose is to gain insights that drive informed decision-making
Data analysis process
Someone who collects, transforms, and organizes data in order to draw conclusions, make predictions, and drive informed decision-making
Data analyst
The science of data
Data analytics
How information is organized
Data design
Using facts to guide business strategy
Data-driven decision-making
The various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data
Data ecosystem
Exploring different data sources to find out what they have in common
Data-inspired decision-making
The sequence of stages that data experiences, which include plan, capture, manage, analyze, archive, and destroy
Data life cycle