SAS:Statistical Analysis System (Data Analysis) Training
This course is designed for the SAS users who are seeking for SAS programmer/data analyst or relevant IT position in health and financial institutes. It covers both Fundamental of SAS Programming and SAS Advanced Programming
Topics : SAS fundamental concepts, accessing data, creating data, managing data, combining data, producing reports, data cleaning techniques, common statistical procedures using SAS system, sas programming, introduction to SQL and Macros, Inner Join, Outer Join, correlation, regression analysis, statistical modeling, GLM, hypothesis and significant tests.
Introduce SAS Work Space
Program Editor or Editor
Log and Output windows.
Create SAS Library
How to create SAS Database
Use operators to evaluate data values
Use functions to create and recode data values
Perform conditional processing
Merge a wide range of data sources
Create, retrieve, and update database information.
Reading data from Text and Excel file by using simple program
Combining multiple data files
Sorting data table
Format table and columns
Combining Data Horizontally
Combining Data Vertically
BY-Group Processing and Sorting
Compute a variety of descriptive statistics, including the mean, sum, variance, standard deviation and more
Compute correlations and other measures of association, as well as multi-way cross-tabulations
Statistical Significant Test
SAS Macros for Automation
Creating macro variable
Using Macros in programs
Interpretation of analytical results
Lab Exercises :
Health Related Data: Causes of Death Analysis for appoximately 6000 children under five years of age
Analyze Breast Cancer Survival data of approximately 1200 records
Human Resources Data: Analyze Employee database approx.700 cases
Does Diet Make a Difference? A physician is evaluating a new diet for her patients with a family history of heart disease. To test the effectiveness of this diet, 16 patients are placed on the diet for 6 months. Their weights and triglyceride levels are measured before and after the study, and the physician wants to know if either set of measurements has changed.
Credit Card Promotion : A department store wants to evaluate a recent credit card promotion. To this end, 500 cardholders were randomly selected. Half received an ad promoting a reduced interest rate on purchases made over the next three months, and half received a standard seasonal ad.
End of the course students will be ready for International certificate for SAS programming, able to manage and analyze statistical data using sas coding.