Data analyst

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Analytical skills
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Qualities and characteristics associated with using facts to solve problems
Analytical thinking
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The process of identifying and defining a problem, then solving it by using data in an organized, step-by-step manner
Context
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The condition in which something exists or happens
Data
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A collection of facts
Data analysis
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The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making
Data analyst
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Someone who collects, transforms, and organizes data in order to draw conclusions, make predictions, and drive informed decision-making
Data analytics
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The science of data
Data design
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How information is organized
Data-driven decision-making
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Using facts to guide business strategy
Data ecosystem
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The various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data
Data science
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A field of study that uses raw data to create new ways of modeling and understanding the unknown
Data strategy
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The management of the people, processes, and tools used in data analysis
Data visualization
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The graphical representation of data
Dataset
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A collection of data that can be manipulated or analyzed as one unit
Gap analysis
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A method for examining and evaluating the current state of a process in order to identify opportunities for improvement in the future
Root cause
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The reason why a problem occurs
Technical mindset
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The ability to break things down into smaller steps or pieces and work with them in an orderly and logical way
Visualization
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(Refer to data visualization)
Database
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A collection of data stored in a computer system
Formula
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A set of instructions used to perform a calculation using the data in a spreadsheet
Function
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A preset command that automatically performs a specified process or task using the data in a spreadsheet
Query
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A request for data or information from a database
Query language
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A computer programming language used to communicate with a database
Stakeholders
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People who invest time and resources into a project and are interested in its outcome
Structured Query Language
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A computer programming language used to communicate with a database
Spreadsheet
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A digital worksheet
SQL
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(Refer to Structured Query Language)
Attribute
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A characteristic or quality of data used to label a column in a table
Function
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A preset command that automatically performs a specified process or task using the data in a spreadsheet
Observation
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The attributes that describe a piece of data contained in a row of a table
Oversampling
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The process of increasing the sample size of nondominant groups in a population. This can help you better represent them and address imbalanced datasets
Self-reporting
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A data collection technique where participants provide information about themselves
Action-oriented question
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A question whose answers lead to change
Cloud
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A place to keep data online, rather than a computer hard drive
Data analysis process
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The six phases of ask, prepare, process, analyze, share, and act whose purpose is to gain insights that drive informed decision-making
Data life cycle
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The sequence of stages that data experiences, which include plan, capture, manage, analyze, archive, and destroy
Leading question
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A question that steers people toward a certain response
Measurable question
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A question whose answers can be quantified and assessed
Problem types
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The various problems that data analysts encounter, including categorizing things, discovering connections, finding patterns, identifying themes, making predictions, and spotting something unusual
Relevant question
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A question that has significance to the problem to be solved
SMART methodology
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A tool for determining a question’s effectiveness based on whether it is specific, measurable, action-oriented, relevant, and time-bound
Specific question
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A question that is simple, significant, and focused on a single topic or a few closely related ideas
Structured thinking
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The process of recognizing the current problem or situation, organizing available information, revealing gaps and opportunities, and identifying options
Time-bound question
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A question that specifies a timeframe to be studied
Unfair question
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A question that makes assumptions or is difficult to answer honestly
Algorithm
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A process or set of rules followed for a specific task
Big data
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Large, complex datasets typically involving long periods of time, which enable data analysts to address far-reaching business problems
Dashboard
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A tool that monitors live, incoming data
Data-inspired decision-making
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The process of exploring different data sources to find out what they have in common
Metric
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A single, quantifiable type of data that is used for measurement
Metric goal
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A measurable goal set by a company and evaluated using metrics
Pivot chart
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A chart created from the fields in a pivot table
Pivot table
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A data summarization tool used to sort, reorganize, group, count, total, or average data
Problem types
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The various problems that data analysts encounter, including categorizing things, discovering connections, finding patterns, identifying themes, making predictions, and spotting something unusual
Qualitative data
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A subjective and explanatory measure of a quality or characteristic
Quantitative data
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A specific and objective measure, such as a number, quantity, or range
Report
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A static collection of data periodically given to stakeholders
Return on investment (ROI)
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A formula that uses the metrics of investment and profit to evaluate the success of an investment
Revenue
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The total amount of income generated by the sale of goods or services
Small data
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Small, specific data points typically involving a short period of time, which are useful for making day-to-day decisions

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