Module 1 Flashcards
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 analyst
Someone who collects, transforms, and organizes data in order to make informed decisions
The 3 disciplines of data science
Machine learning, statistics, and analytics
6 processes of data analytics
ask, prepare, process, analyze, share, act
Data ecosystems
The various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data
Cloud
A place to keep data online, rather than a computer hard drive
Data Science
Creating new ways of modeling and understanding the unknown by using raw data
Data Analytics
The science of data
Data-driven decision-making
Using facts to guide business strategy
Analytical skills
Qualities and characteristics associated with solving problems using facts
5 aspects of analytical skills
Curiosity, Understanding context, Having a technical mindset, Data design, Data Strategy
Curiosity
Wanting to learn something
Context
The condition in which something exists or happens
A technical mindset
The ability to break things down into smaller steps or pieces and work with them in an orderly and logical way
Data design
How you organize information
Data strategy
The management of the people, processes and tools used in data analysis
Analytical thinking
Identifying and defining a problem and then solving it by using data in an organized, step-by-step manner
5 aspects of analytical thinking
Visualization, Strategy, Problem-orientation, Correlation, Big-picture and detail-oriented thinking
Visualization
The graphical representation of information
Correlation does not equal
Causation
Root cause
The reason why a problem occurs
Gap analysis
A method for examining and evaluating how a process works currently in order to get where you want to be in the future
