Data Science
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
A dark pattern where the user is guilt-tripped into opting into something by using language designed to shame them if they decline.
A programming paradigm aimed at improving the clarity, quality, and development time of software by using structured control flow constructs.
Search Engine Optimization (SEO) is the process of improving a website's visibility and ranking in organic search engine results.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input).
Key Performance Indicators (KPIs) are quantifiable measures used to evaluate the success of an organization, employee, or project in meeting objectives for performance.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation.