Base SAS Course:

Introduction to SAS: Overview of SAS software, SAS programming environment, and basic concepts.
SAS Data Step: Reading and writing data, data manipulation techniques, conditional processing, and
merging datasets.
SAS Procedures: Introduction to SAS procedures for data analysis, such as PROC SORT, PROC FREQ,
PROC MEANS, PROC PRINT, and PROC SQL.
Data Transformation: Creating and modifying variables, handling missing values, and recoding
variables.
SAS Functions: Understanding and using SAS functions for data manipulation and computation.
Conditional Processing: Using IF-THEN statements, DO loops, and arrays for conditional processing.
SAS Formats and Informats: Working with SAS formats and informats for data input, output, and
display.
Combining SAS Datasets: Combining datasets vertically and horizontally using various methods.
SAS Macros: Introduction to SAS macros for automating tasks and writing reusable code.
Reporting and Output: Generating reports using PROC REPORT, PROC TABULATE, and ODS (Output
Delivery System).

Advanced SAS Course:

Advanced DATA Step Programming: Advanced techniques for data manipulation, including advanced
merging and updating techniques, advanced conditional processing, and data validation.
SAS Arrays: Utilizing arrays for efficient processing and manipulation of data.
SQL Programming with SAS: Advanced SQL techniques in SAS, including complex joins, subqueries,
and performance tuning.
SAS Macro Language: In-depth understanding of the SAS macro language, macro variables, macro
functions, and advanced macro programming.
Advanced SAS Procedures: Exploring advanced SAS procedures, such as PROC TRANSPOSE, PROC
SUMMARY, PROC REPORT, PROC SQL, PROC TABULATE, and PROC CONTENTS.
Efficiency and Performance: Techniques for optimizing SAS programs, improving efficiency, and
reducing resource consumption.
SAS/GRAPH: Introduction to creating and customizing various types of graphs and charts using SAS.
SAS/STAT: Overview of advanced statistical procedures available in SAS/STAT, including regression
analysis, analysis of variance (ANOVA), and multivariate analysis.
SAS/ETS: Introduction to SAS procedures for econometric and time series analysis.
Debugging and Troubleshooting: Techniques for identifying and resolving issues in SAS programs,
error handling, and debugging tools.

Clinical SAS, SDTM+ADaM+TFL