Advance SAS Training

The Advanced SAS Training course is tailored for professionals aiming to deepen their expertise in SAS programming and data analysis. This comprehensive program delves into complex data manipulation, advanced techniques in data analysis, and the generation of insightful reports. Participants will explore sophisticated SAS functionalities, including macro language, SQL processing, and advanced statistical procedures, equipping them with the tools to efficiently handle large datasets and complex analytical tasks. The course covers data cleaning, preparation, and advanced data transformation techniques. Attendees will also learn about optimizing SAS programs for better performance and automation of repetitive tasks, significantly improving their productivity. The training also includes a segment on visual data exploration and the creation of professional reports using SAS/GRAPH. This aspect is crucial for professionals who need to communicate data-driven insights effectively.

• SAS SQL 1: Essentials
• SAS Macro Language 2: Essentials
• SAS Programming 3: Advanced Techniques and Efficiencies

The SAS SQL 1: essential section will deliver skills in accessing data using SQL. The participant will learn how to generate detailed and summary reports from a single table or multiple tables. Using SQL procedure, you will also learn how to construct sub-queries and ways to access dictionary tables.

The SAS Macro Language 2: Essentials section focuses on macro processing. By using SAS macro language, the trainees will work on user-defined and automatic macro variables, automate programs, use macro functions, create data driven programs, and use system options for debugging.

The SAS Programming 3: Advanced Techniques and Efficiencies section provides hands-on experience on advance data look-up techniques such as arrays, hash objects, indexes, and formats. The attendees use DATA steps to develop reusable SAS programs to reduce programming time.

By the end of the training, you’ll proficient in the following skills:

• Write SAS SQL code
• Use SAS macro language facility
• Use DATA step programming statements and SQL interfaces
• Use efficiency techniques to control I/O processing and memory.

Target audience

• Research scientists
• SAS professionals
• Professionals involved in statistical data collection and analysis

Prerequisites

The professionals with experience in SAS programming and basic understanding of SQL can undergo this training.

SAS SQL 1: Essentials

• Overview of SAS Foundation
• Course logistics
• Course data files
• Introducing the Structured Query Language

• Overview of the SQL procedure
• Specifying columns
• Specifying rows

• Presenting data
• Summarizing data

• Introduction to SQL joins
• Inner joins
• Outer joins
• Complex SQL joins

• Noncorrelated subqueries
• In-line views

• Introduction to set operators
• UNION operator
• OUTER UNION operator
• EXCEPT operator
• INTERSECT operator

• Creating tables with the SQL procedure
• Creating views with the SQL procedure

• Dictionary tables and views
• Using SQL procedure options
• Interfacing PROC SQL with the macro language

• SAS resources
• Beyond this course

• Correlated subqueries
• Introduction to indexes
• Creating indexes
• Maintaining tables with the SQL procedure
• Integrity constraints
• Creating and using macro variables in PROC SQL

SAS Macro Language 2: Essentials

• Overview of SAS Foundation
• Course logistics
• Purpose of the macro facility
• Program flow

• Introduction to macro variables
• Automatic macro variables
• Macro variable references
• User-defined macro variables
• Delimiting macro variable references
• Macro functions

• Defining and calling a macro
• Macro parameters

• Creating macro variables in the DATA step
• Indirect references to macro variables
• Creating macro variables in SQL

• Conditional processing
• Parameter validation
• Iterative processing
• Global and local symbol tables

• SAS resources
• Beyond this course

• Program flow

SAS Programming 3: Advanced Techniques and Efficiencies

• Overview of SAS Foundation
• Course logistics
• Creating the course data

• Measuring efficiencies

• SAS DATA step processing
• Controlling I/O
• Using SAS views
• Reducing the length of numeric variables
• Compressing SAS data sets

• Creating a sample data set
• Creating an index
• Using an index

• Introduction to lookup techniques
• Using one-dimensional arrays
• Using multidimensional arrays
• Loading a multidimensional array from a SAS data set

• Introduction
• Using hash object methods
• Loading a hash object with data from a SAS data set
• Using the DATA step hiter object

• DATA step merges and SQL procedure joins
• Using an index to combine data
• Combining summary and detail data
• Combining data conditionally

• Creating user-defined functions
• The experts' FORMAT procedure

• Introduction