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
Context: The condition in which something exists or happens
Data: A collection of facts
Data analysis: The collection, transformation, and organization of data to conclude, make predictions, and drive informed decision-making
Data analyst: Someone who collects, transforms, and organizes data to conclude, 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 science: A field of study that uses raw data to create new ways of modeling and understanding the unknown
Data strategy: The management of the people, processes, and tools used in data analysis
Data visualization: The graphical representation of data
Dataset: A collection of data that can be manipulated or analyzed as one unit
Gap analysis: A method for examining and evaluating the current state of a process to identify opportunities for improvement in the future
Root cause: The reason why a problem occurs
Technical mindset: The ability to break things down into smaller steps or pieces and work with them in an orderly and logical way
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