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