A series of data processing steps that involve data collection, processing, analysis, and visualization.

The process of gathering raw data from various sources for analysis.

Transforming raw data into a usable format through cleaning, normalization, and other techniques.

Applying statistical methods to analyze and interpret data, extracting meaningful insights.

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

The practices and processes for collecting, storing, and using data efficiently and securely.

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

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

Identifying and handling data points that differ significantly from other observations.

Adjusting values in a dataset to a common scale without distorting differences in the ranges of values.

Application Programming Interface; a set of rules for building and interacting with software applications.

Automated method of extracting data from websites.

The process of converting data from one format or structure to another.

Combining data from different sources to provide a unified view.

The condition of a dataset, determined by factors like accuracy, completeness, and reliability.

A system for managing changes to documents, programs, and other collections of information.

The practice of using data to tell a compelling story that engages the audience.

Constructive criticism provided by colleagues to improve work quality and effectiveness.

Detailed documents summarizing findings, methodologies, and implications of analyses.

Dynamic and compelling presentations designed to effectively communicate information to an audience.

Methods for self-evaluation and learning from experiences to improve future performance.

A final project that integrates and applies all skills and knowledge acquired throughout the course.

The process of overseeing the flow of data through various stages in a data pipeline.

Insights derived from data analysis, often used to inform decision-making.