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Data Science Education encompasses the teaching and learning of data science principles, methodologies, and tools, with an emphasis on applying computational thinking, statistical analysis, and machine learning techniques to extract insights from large and complex datasets. It is grounded in the fundamentals of computer education, information technology education, and mathematics, and prepares students for careers in a variety of industries, including technology, finance, healthcare, and government. Data Science Education may be offered at different levels, from undergraduate to postgraduate studies, and through various delivery modes such as traditional classroom instruction, online courses, or blended learning approaches. It fosters critical thinking, problem-solving, and communication skills, and encourages students to approach data-related challenges with creativity, rigor, and ethical considerations.