Advanced SAS Tutorial

This Advanced SAS tutorial is for anyone who wants to learn how to use SAS to read and manipulate raw data to gain business insights. Readers interested in pursuing a profession as a SAS developer or programmer will find it useful.


Advanced SAS Tutorial

This tutorial gives you an overview and talks about the fundamentals of Advanced SAS.

SAS is one of 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.

Mindmajix advance SAS (Statistical Analysis System) training enables you to explore the depth of SAS knowledge. We ensure that our training takes you to a 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.

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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.

                                      Checkout Advanced SAS Interview Questions

Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.


About Author

Although from a small-town, Himanshika dreams big to accomplish varying goals. Working in the content writing industry for more than 5 years now, she has acquired enough experience while catering to several niches and domains. Currently working on her technical writing skills with Mindmajix, Himanshika is looking forward to explore the diversity of the IT industry. You can reach out to her on LinkedIn


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