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Control DATA step processing in SAS: build accumulating columns, manipulate values with functions, create custom formats, merge tables, write DO loops, and transpose data.
Practice SAS programming on realistic problems like TSA claims and world tourism data while reviewing data preparation, analysis and export concepts for the Base Programming Using SAS 9.4 exam.
Write SAS programs in SAS Studio to import SAS, Excel, and text data, subset rows, compute columns, summarize and report results, export to Excel/Word/PDF, and query with SQL.
In this course, you learn more about SAS Visual Analytics and the SAS Viya platform, how to access and investigate data in SAS Visual Analytics, and how to prepare data for analysis using SAS Data Studio.
Process data with SQL in SAS 9, design and debug dynamic macro programs with the SAS macro facility, and apply advanced DATA step techniques.
In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.
Query and summarize data with PROC SQL in SAS: write SELECT, GROUP BY and HAVING clauses, joins, subqueries, set operators, data-driven macro variables, and SAS/ACCESS DBMS connections.
Model business outcomes in SAS: run hypothesis tests, fit regression models, and build predictive models with logistic regression.
In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics.
In this course, you learn how to create advanced data items, filters, and parameters in SAS Visual Analytics.
In this course, you learn about the data structure needed for network, path, and text analytics and how to create network analysis, path analysis, and text analytics in SAS Visual Analytics.
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
Automate SAS code with the macro facility: create macro variables and macro functions, write macro programs with IF/THEN logic and DO loops, and build data-driven applications.
Review SAS programming concepts and work through realistic case studies to prepare for the SAS Certified Specialist: Base Programming Using SAS 9.4 exam.
Build entry-level cloud and analytics skills with Azure core services, storage, virtual networking and virtual machines, then SAS Viya, SAS Studio, Visual Analytics and Model Studio.
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