SAS (Statistical Analysis System) is a software suite developed by SAS Institute for advanced analytics, business intelligence, data management, and predictive analytics. It enables users to perform complex statistical analyses, data mining, and data visualization tasks.
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About Sas
SAS was created in 1976 by Anthony James Barr at North Carolina State University to analyze agricultural data. It evolved into a comprehensive software suite for advanced analytics, business intelligence, and data management. Over the years, SAS expanded its capabilities and became widely used in various industries for statistical analysis and predictive modeling.
Strengths of SAS include robust data analysis capabilities, extensive statistical functions, and strong customer support. Weaknesses involve high licensing costs and a steep learning curve. Competitors include R, Python (with libraries like Pandas and SciPy), SPSS, and MATLAB.
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How to hire a Sas expert
A SAS expert must have strong skills in data manipulation, statistical analysis, and programming within the SAS environment. Proficiency in using SAS procedures (PROCs), SQL integration, macro programming, and familiarity with SAS Enterprise Guide and SAS Studio are essential. They should also understand data visualization techniques and be adept at debugging and optimizing SAS code.
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