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In a world obsessed with Python and “coding from scratch,” IBM SPSS serves a critical role: it democratizes analytics. It lowers the barrier to entry for high-powered statistics, allowing domain experts—doctors, marketers, sociologists—to ask questions of their data without first becoming software engineers.

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IBM SPSS Statistics is a powerful software platform used for statistical analysis, data management, and predictive modeling. Launched in 1968 by Norman H. Nie, Dale H. Bent, and C. Hadlai Hull, it was acquired by IBM in 2009. Despite competition from open-source tools like R and Python, SPSS remains a benchmark in industries requiring user-friendly, menu-driven statistical computing. In a world obsessed with Python and “coding