The process of inspecting, cleaning, and modeling data to discover useful information and support decision-making.

A branch of mathematics dealing with data collection, analysis, interpretation, and presentation.

Methods for summarizing and organizing data to understand its main features, often using measures like mean and median.

Techniques that allow conclusions to be drawn about a population based on a sample of data.

The graphical representation of data to help communicate insights clearly and effectively.

A statistical method used to determine if there is enough evidence to reject a null hypothesis.

A measure that helps determine the significance of results in hypothesis testing, indicating the probability of observing the data.

A range of values used to estimate the true value of a population parameter with a certain level of confidence.

The number of observations or replicates included in a statistical sample, impacting the reliability of results.

The process of correcting or removing inaccurate records from a dataset to improve quality.

An approach to analyzing datasets to summarize their main characteristics, often using visual methods.

Software applications like Tableau or Power BI used to create visual representations of data.

The process of documenting analysis findings in a structured format for effective communication.

Any characteristic, number, or quantity that can be measured or counted, often categorized as independent or dependent.

The systematic gathering of information for analysis, crucial for ensuring data reliability.

Data that can be divided into groups or categories, often qualitative in nature.

Data that can take any value within a given range, often quantitative.

A data point that differs significantly from other observations, potentially indicating variability or error.

The process of making sense of collected data and drawing conclusions based on analysis.

A statistical method for modeling the relationship between a dependent variable and one or more independent variables.

A statistical method used to compare means among three or more groups to determine if at least one differs significantly.

A process where peers evaluate each other's work for quality and validity before publication or presentation.

A concise summary of a report's key points, intended for decision-makers.

Understanding the background and conditions under which data was collected, crucial for accurate analysis.

Any visual component used in presentations to enhance understanding and retention of information.