This tutorial gives you an overview and talks about the fundamentals of Advanced SAS.
SAS is one among the few most used platforms of data analytics in the world. Improve your programming skillset by figuring out how to apply your comprehension of the language of big data-R, in the SAS environment at an advanced level.
Our instructor covers different advanced techniques to analyze data via inferential procedures. Learn about PROC REG regression, estimating combinations with the general linear model procedure, mixed procedures and models, and more.
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Mindmajix advance SAS (Statistical Analysis System) training enables you to explore the depth of SAS knowledge. We ensure that our training takes you to the higher data analysis level to help enterprises in taking benefits of Business Intelligence.
Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data.
Reduce I/O by controlling the space required to store SAS data sets using compression techniques, length statements, or eliminating variables and observations.
Reduce programming time by developing reusable SAS programs which incorporate data step views, DATA steps that write SAS programs, and the FCMP procedure.
Perform effective benchmarking by using the appropriate SAS System options and interpreting the resulting resource utilization statistics.
Determine the resources used by the SORT procedure and avoid unnecessary sorts by using appropriate indexes, data set options, BY statement options, and the CLASS statement.
Identify appropriate applications for using indexes and create them using the DATA step, the DATASETS procedure, or the SQL procedure.
Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.