The history of data science reflects a powerful evolution from early statistical foundations to today’s AI-driven world. Originating in the 1960s through the work of pioneers like Tukey and Naur, the field gradually merged statistics with computer science. Milestones such as the rise of statistical computing, KDD, big data technologies like Hadoop, and cloud-native systems accelerated its growth. By the 2010s, AI, machine learning, and deep learning had firmly established data science as a high-impact discipline. Entering 2025, autonomous analytics, LLMs, and multimodal systems define its future. With expanding applications across industries, data science continues to shape innovation and global decision-making. For more details visit at - https://www.careerera.com/blog/history-of-data-science
The history of data science reflects a powerful evolution from early statistical foundations to today’s AI-driven world. Originating in the 1960s through the work of pioneers like Tukey and Naur, the field gradually merged statistics with computer science. Milestones such as the rise of statistical computing, KDD, big data technologies like Hadoop, and cloud-native systems accelerated its growth. By the 2010s, AI, machine learning, and deep learning had firmly established data science as a high-impact discipline. Entering 2025, autonomous analytics, LLMs, and multimodal systems define its future. With expanding applications across industries, data science continues to shape innovation and global decision-making. For more details visit at - https://www.careerera.com/blog/history-of-data-science
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