Data science and computer science, while interconnected, serve distinct roles. Data science focuses on extracting insights from data using statistical methods, machine learning, and predictive modeling. It’s crucial in decision-making across industries. In contrast, computer science is broader, encompassing software development, algorithms, and systems architecture. It provides the foundational technologies that data science relies on. Both fields are essential, with data scientists applying computer science principles to analyze data and drive innovation.
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