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Data Science is an interdisciplinary field that employs scientific methods, processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data. Data Science aims to unify statistics, data analysis, and their related methods to understand and analyze real phenomena with data. It leverages techniques and theories from fields including mathematics, statistics, computer science, and information science. Turing Award winner Jim Gray imagined Data Science as the "fourth paradigm" of science (empirical, theoretical, computational, and now data-driven), asserting that information technology is transforming all aspects of science due to the data deluge.
This certification programme in Data Science expects to build a complete data science “unicorn”- one who has a solid understanding of the mathematics behind the algorithms, practical considerations in applying the algorithms to data (and big data) and generates insights that are business relevant. The certifiable demand for Data Scientists will ensure that rigorous and dedicated completion of the certification course can guarantee placement in the industry.
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The Data Science course will be delivered through a structured approach, with the LMS serving as the central hub for content, engagement, and assessments. This delivery model ensures a smooth learning experience, combining expert-driven study materials and practical applications to reinforce key concepts.
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