Self-Paced, Live Online, Classroom Enterprise Training
With this course, you'll learn how to extract valuable insights from massive datasets and present them in visually engaging formats. In addition, you'll become proficient in creating, manipulating, and managing data using SAS, enabling you to generate reports and troubleshoot errors.
inperson:
3 days
online:
18 hours
Certified Corporate Trainer
Lifetime Access
Quiz & Assignments
24x7 Support
Real Time Projects
Cost Effective Programs
Objective
By taking the SAS training course, you will be able to:
Develop an in-depth understanding of integrating and refining datasets.
Read, process, combine, and access datasets or raw data files.
Create SAS datasets, manipulate data values, and export data.
Manage and manipulate datasets by exploring SAS data libraries.
Generate list and summary reports using various procedures and improve reports.
Identify and fix programming logic, syntax, and data errors.
Explain SAS GUI, datasets, and the import/export of manipulated data.
Implement conditional and iterative looping in your SAS program.
Analyze statistics and perform advanced statistical techniques with SAS.
Automate complex repetitive tasks using MACROS.
Use SQL queries in SAS programs.
Build and solve models using PROC OPTMO.
Target Audience
The SAS base course is ideal for:
Analysts who want to work with SAS.
Developers who want to enhance their SAS skills.
Team Leads who want to professionally work with SAS.
Prerequisites
While this course does not have any set requirements, having familiarity with SQL would be advantageous in comprehending the concepts.
Detailed Outline
Chapter 1: An overview of the SAS Base programming language
Installing and accessing SAS, including SAS University Edition
Working with SAS input statements and the DATA step statement
Reading data and utilizing options available in the input statement
Understanding SAS libraries and how to combine datasets through concatenation, interleaving, one-to-one reading, and one-to-one merging
Performing data manipulation techniques such as deleting and grouping observations, and modifying variable attributes
Chapter 2: Generating data structures
Overview of SAS and its datasets
Creating and manipulating SAS data values
Utilizing the YearCut Off option
Exporting SAS datasets
Controlling observations and variables within datasets
Activity to practice these skills
Chapter 3: Data management
Overview of data management in SAS
Utilizing PROC CONTENTS and PROC DATASETS for data analysis and management
Sorting data with PROC SORT
Implementing loop statements for efficient data manipulation
Converting data types
Utilizing character functions and the SCAN function for data cleaning and transformation
Working with SAS arrays for efficient data management
Implementing Output Delivery Systems for efficient report delivery
Identifying and correcting errors in reports
Chapter 4: Error handling
Overview of error handling in SAS
Identifying errors in SAS programs
Understanding logical, syntax, and data errors
Techniques for identifying and correcting errors in SAS programs
Chapter 5: Accessing data sources
Using FORMATTED and LIST input methods to read raw data files in SAS
Controlling the processing of raw data files using INFILE statement options
Implementing various components of the INPUT statement to process raw data files
Combining SAS datasets for more complex analysis
Accessing data from Excel for use in SAS
Chapter 6: Creating data structures
Creating both temporary and permanent SAS datasets
Creating and manipulating SAS date values
Exporting data to create standard and comma-delimited raw data files
Controlling the processing and output of observations and variables within a SAS dataset
Chapter 7: Managing data
Exploring SAS data libraries with base SAS utility procedures
Sorting observations within a SAS dataset
Conditionally executing SAS statements
Utilizing assignment statements in the DATA step
Modifying variable attributes using options and statements in the DATA step
Accumulating sub-totals and totals with DATA step statements
Manipulating character data, numeric data, and SAS date values with SAS functions
Converting character data to numeric and vice versa with SAS functions
Processing data using DO loops and SAS arrays
Validating and cleaning data in SAS
Chapter 8: Generating reports
Generating list reports using the PRINT procedure in SAS
Creating summary reports and frequency tables with base SAS procedures
Improving reports by utilizing user-defined formats, titles, footnotes, and SAS System reporting
Generating reports with ODS statements in SAS
Chapter 9: Error handling
Identifying and resolving programming logic errors in SAS
Recognizing and correcting syntax errors in SAS
Examining and resolving data errors in SAS
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