Introduction to Data Science and Excel Data Management

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Description and Tags

This flashcard set covers the fundamental concepts of data science, analysis terminology, Excel data visualization tools, and table manipulation techniques including sorting and filtering.

23 Terms

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Data analysis

The process of finding patterns, evaluating cause and effect, and making estimations from data by applying a logic-based approach such as statistical analysis.

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Data mining

The process of analyzing large amounts of data to find patterns and correlations.

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Benchmarking

The practice of comparing business operations baselines or competitors to evaluate performance.

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Data science

A field where scientists work with large structured and unstructured datasets using scientific methods and processes to discover insights to inform critical decisions.

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R Project for Statistical Computing (R)

A tool used by data scientists for conducting advanced statistical analysis.

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Python

A tool used for taking a programmatic approach to advanced data analysis with large data sets.

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Data Visualization

The act of using visual elements such as charts, graphs, and maps to analyze data, find patterns, and report insights gleaned from data.

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Visual Processing Speed

The rate at which humans process visual data compared to other forms, which is approximately 60,00060,000 times more quickly.

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Charts

Excel options, such as bar and pie charts, which graphically represent data and relationships.

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PivotTables

Excel objects that allow for the manipulation of data by rotating or turning large amounts of data into summaries that show insights.

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Geospatial visualizations

Visualizations that show geographic data on maps to gain insights into how geographic location relates to data.

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Dashboards

Tools that combine charts, PivotTables, and geospatial visualizations to correlate and show relationships in data.

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Table

A dataset composed of contiguous rows and columns that Excel treats as a single, independent object.

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Sorting

The process of reordering worksheet data based on defined criteria, such as alphabetically or from highest value to lowest value.

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Filtering

The process of removing from view any data entries that do not match some specified criteria.

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==

An operator that filters data based on an exact content match.

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<<

An operator that filters for numerical or date and time values that are less than the defined criteria.

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>>

An operator that filters for numerical or date and time values that are greater than the defined criteria.

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<=<=

An operator that filters for numerical or date and time values that are less than or equal to the defined criteria.

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>=>=

An operator that filters for numerical or date and time values that are greater than or equal to the defined criteria.

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<><>

An operator that filters for numerical, textual, or date and time values that are not equal to the defined criteria.

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??

A wildcard operator that serves as a substitute for a single character in a search.

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∗*

A wildcard operator that serves as a substitute for multiple characters in a search.