Data Analytics Overview

These flashcards cover key vocabulary and concepts in data analytics, including definitions for types of data, data collection methods, and important ethical considerations.

Quantitative Data

Data that is measurable and specific, often represented by numbers.

Qualitative Data

Descriptive data that focuses on qualities or characteristics, often collected from interviews or observations.

Primary Data

Information collected firsthand for a specific purpose directly from the source.

Secondary Data

Data that has already been collected and analyzed by someone else, such as books or articles.

Data Collection

The systematic gathering and measuring of data in a predefined manner to answer research questions.

Surveys

A method of collecting data from a predefined group using standardized questions.

Focus Groups

Facilitated discussions with a small group to gather opinions and perceptions about a topic.

Experiments

Controlled procedures to test a hypothesis by manipulating variables.

Observations

Systematic watching and recording of behaviors or events in a natural or controlled setting.

Data vs Information

Data refers to raw, unprocessed facts, while information is processed, organized data that provides context.

Data Quality

The degree to which data is accurate, complete, and useful for its intended purpose.

Ethical Considerations in Data

Guidelines for responsible data handling, including consent, privacy, and security.

Informed Consent

Obtaining permission from individuals before collecting and using their data.

Clarity

The quality of being clear and easily understandable, especially in visual data representations.

Visualisation Types

Different methods to represent data visually, such as charts, graphs, and dashboards.