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

Technologies and strategies used by organizations to analyze business data and improve decision-making.

Techniques used to collect, analyze, interpret, and present data, aiding in decision-making.

The process of organizing and presenting data findings in a structured format for stakeholders.

The graphical representation of information and data to communicate insights clearly.

A statistical method that uses sample data to evaluate a hypothesis about a population.

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

A statistical measure that describes the degree to which two variables move in relation to each other.

The organization and storage format of data for efficient access and modification.

A range of values derived from sample data that is likely to contain the true population parameter.

A collection of related data points, often organized in a table format for analysis.

Visual display of key performance indicators and metrics that allows users to interact with data.

The practice of using data and visuals to tell a compelling story and communicate insights.

The process of correcting or removing inaccurate, incomplete, or irrelevant data from a dataset.

Applications used for statistical analysis, such as R, Python, and SPSS.

Statistical methods that summarize and describe the characteristics of a dataset.

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

A plan that outlines how a business will achieve its goals and objectives using data insights.

Meaningful information derived from data analysis that can inform decisions.

Software applications used to create charts, graphs, and other visual representations of data.

Input and evaluations provided by fellow learners to enhance understanding and improve work.

A comprehensive task that synthesizes course learning, requiring analysis and presentation of data.

A reflective practice where learners evaluate their understanding and progress throughout the course.

The process of examining data to extract meaningful conclusions and recommendations.

A structured document presenting analysis findings, aimed at informing and influencing stakeholders.