Advance SAS Training

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Advance SAS (Statistical Analysis System) training enables you to explore the depth and width of SAS knowledge. The training takes you to the higher level of data analysis helping enterprises in taking advantage of business intelligence. This business analyst course is divided into three sections, namely

  • 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

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

SAS SQL 1: Essentials

1. Introduction

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

2. Basic Queries

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

3. Displaying Query Results

  • Presenting data
  • Summarizing data

4. SQL Joins

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

5. Subqueries

  • Noncorrelated subqueries
  • In-line views

6. Set Operators

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

7. Creating Tables and Views

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

8. Advanced PROC SQL Features

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

9. Learning More

  • SAS resources
  • Beyond this course

10. Self-Study Topics

  • 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

1. Introduction

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

2. Macro Variables

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

3. Macro Definitions

  • Defining and calling a macro
  • Macro parameters

4. DATA Step and SQL Interfaces

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

5. Macro Programs

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

6. Learning More

  • SAS resources
  • Beyond this course

7. Supplemental Materials

  • Program flow

SAS Programming 3: Advanced Techniques and Efficiencies

1. Introduction

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

2. Measuring Efficiencies

  • Measuring efficiencies

3. Controlling I/O Processing and Memory

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

4. Accessing Observations

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

5. Using DATA Step Arrays

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

6. Using DATA Step Hash and Hiter Objects

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

7. Combining Data Horizontally

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

8. Expert Programmer Techniques

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

9. Learning More

  • Introduction

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