SAS Base

Course Overview

This SAS certification course is designed to professionally equip you to implement SAS in the real world. Develop and create interesting and visually appealing insights from huge chunks of data. Practice on cloudlabs as you learn with our industry expert. Master creation, manipulation, and management of data through SAS to generate reports and handle errors. This comprehensive training program is the foundation course for a data science career.

 

 

At the end of the training, participants will be able to:

  1. Gain in-depth knowledge of integrating and refining datasets
  2. Read, process, combine, and access datasets or raw data files.
  3. Create SAS datasets, manipulate data values, export data
  4. Manage and manipulate datasets by investigating SAS data libraries
  5. Generate list and summary reports using different procedures, and enhance reports
  6. Identify and resolve programming logic, syntax, and data errors
  7. Explain SAS GUI, datasets, import/export of manipulated data

Pre-requisite

There are no predefined prerequisites for this course, however a working knowledge of SQL would be beneficial to understand the concepts.

Duration

3 days

Course Outline

  1. SAS Installation and Access
  2. Opening SAS University Edition
  3. SAS Input Statements
  4. DATA Step Statement
  5. Reading Data
  6. Options Available in the Input Statement
  7. SAS Libraries
  8. Combining Datasets
  9. Concatenating Datasets
  10. Interleaving Method
  11. Knowledge
  12. One-to-One Reading
  13. One-to-One Merging
  14. Data Manipulation
  15. Delete and Group Observations
  16. Modifying Variable Attributes
  1. Introduction
  2. SAS Dataset
  3. Create & Manipulate SAS Data Values
  4. YearCut Off Option
  5. Export SAS Dataset
  6. Controlling observation and Variables
  7. Activity
  1. Introduction
  2. Proc Contents
  3. Proc Datasets
  4. Proc Sort
  5. Loop Statements
  6. Data type Conversion
  7. Characters Functions
  8. SCAN Function
  9. SAS Arrays
  1. Introduction
  2. Need for Reports
  3. Proc Prints
  4. Proc Means
  5. ProcFreq
  6. ProcUnivariate
  7. Proc Reports
  8. Output Delivery Systems
  9. Spot the Erro
  1. Introduction
  2. Errors in SAS Program
  3. Logical Errors
  4. Syntax Errors
  5. Data Errors
  6. Spot the Erro
  1. FORMATTED and LIST input to read raw data files
  2. INFILE statement options to control processing while reading raw data files
  3. Use various components of an INPUT statement to process raw data files
  4. Combine SAS Data Sets
  5. Access Excel
  • Create temporary and permanent SAS data sets
  • Create and manipulate SAS date values
  • Export data to create standard and comma-delimited raw data files.
  • Control which observations and variables in a SAS data set are processed and output
  1. Investigate SAS data libraries using base SAS utility procedures
  2. Sort observations in a SAS data set
  3. Conditionally execute SAS statements
  4. Use assignment statements in the DATA step
  5. Modify variable attributes using options and statements in the DATA step
  6. Accumulate sub-totals and totals using DATA step statements
  7. Use SAS functions to manipulate character data, numeric data, and SAS date values
  8. Use SAS functions to convert character data to numeric and vice versa
  9. Process data using DO LOOPS
  10. Process data using SAS arrays
  11. Validate and clean data
  1. Generate list reports using the PRINT procedure
  2. Generate summary reports and frequency tables using base SAS procedures
  3. Enhance reports through the use of user-defined formats, titles, footnotes and SAS System reporting
  4. Generate reports using ODS statements
  1. Identify and resolve programming logic errors
  2. Recognize and correct syntax errors
  3. Examine and resolve data errors

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