Introduction to SAS Programming and Data
Manipulation
Participants will receive course materials, SAS code
samples, and resources for further learning.
Module 1: Getting Started with SAS
Introduction to SAS
environment: windows, editor, log, and output.
Basic SAS programming
concepts: syntax, statements, and procedures.
Understanding SAS datasets:
structure, attributes, and data types.
Module 2: Working with SAS Data Steps
Introduction to the DATA step:
creating, modifying, and managing datasets.
Manipulating data: merging,
concatenating, and appending datasets.
Filtering and sorting data
using conditional statements.
Using functions to transform
and manipulate data.
Module 3: Importing and Exporting Data
Importing data from CSV,
Excel, and other external file formats.
Exporting SAS datasets to
other file formats (e.g., CSV, Excel).
Understanding and using SAS
libraries.
Interactive Components
Hands-on exercise
Group activity
Statistical Analysis and Reporting with
SAS
Module 4: Basic Statistical Procedures in SAS
Introduction to PROC steps:
understanding PROC PRINT, PROC MEANS, PROC FREQ.
Descriptive statistics:
calculating mean, median, standard deviation, etc.
Frequency analysis and
creating frequency tables with PROC FREQ.
Module 5: Regression Analysis and Model
Building
Introduction to PROC REG for
simple and multiple linear regression.
Generating regression output
and interpreting results.
Introduction to PROC LOGISTIC
for logistic regression.
Module 6: Reporting and Output Generation
Customizing output: creating
formatted reports with PROC REPORT.
Using ODS (Output Delivery
System) for exporting results in different formats (HTML, PDF).
Generating charts and plots
using PROC SGPLOT.
Interactive Components
Hands-on exercise
Group discussion
Hands-On Labs
60% of the training will involve practical exercises and
case studies.
