* Statistical Software
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SPSS Widely used for social sciences research. Offers user-friendly menus for statistical analysis, data management, and visualization.
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SmartPLS (SPLS) Specialized in Partial Least Squares Structural Equation Modeling (PLS-SEM). Useful for complex models with latent variables.
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R A powerful open-source programming language for statistical computing and graphics. Highly flexible with thousands of packages for advanced analysis.
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STATA Known for econometrics, biostatistics, and social science applications. Offers strong data management and regression tools.
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MINITAB Popular in quality improvement and Six Sigma projects. Provides easy-to-use statistical tools for manufacturing and business analytics.
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EViews Designed for econometric analysis, especially time series and forecasting. Commonly used in economics and finance research.
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SAS Enterprise-level software for advanced analytics, predictive modeling, and big data management. Widely used in healthcare, finance, and government.
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AMOS An add-on for SPSS, focused on Structural Equation Modeling (SEM). Allows graphical modeling of relationships between variables.
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Python A versatile programming language with libraries like pandas, numpy, scikit-learn, and statsmodels for statistical analysis and machine learning.
