Data science is an interdisciplinary field that combines various techniques and tools to extract knowledge and insights from structured and unstructured data.

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Data analytics frequently compares business goals with data assets, and the approach is based on business and strategy.

Full stack development refers to the ability to work on both the client-side (front-end) and server-side (back-end) of an application and manage the database. A full-stack developer possesses the skills and knowledge required to handle all stages of software development, from designing the user interface to implementing business logic and managing databases.

Data science is a multidisciplinary field. It combines statistical analysis, programming skills, and domain knowledge to extract valuable insights and knowledge from raw data. It involves applying scientific methods, algorithms, and techniques to gather, process, analyze, and interpret vast amounts of structured and unstructured data. The main goal of data science is to discover patterns, make predictions, and generate actionable insights to drive informed decision-making and solve complex problems across various industries.

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A full stack developer is responsible for any applications, they are manages both frontend and backend technologies. Full-stack developers are skilled in both languages and know networks, servers, frameworks, and hosting environments. A full-stack developer requires such skills in front-end and back-end technologies.