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Learn to accomplish a task with various SAS techniques,
Learn data importing with different techniques for various type of data
Advanced concepts of meta data: formats and informants, labels, lengths, etc.
Perform dataset manipulations: subsetting, transposition, etc.
Learn step-by-step statistical analysis from descriptive statistics, hypothesis testing to linear regression
Use many important functions to make SAS programming easy
Learn the manipulation techniques to prepare the data and make the data analysis-ready
Be able to properly interpret the results from statistical analyses
Introduction to SAS
Terminology
SAS Application
SAS Software
SAS/IML Software
SAS Simulation Studio
SAS Macro
SAS Environment Setup
SAS Environment Setup
SAS Interface
SAS Program Structure
SAS Data Set
SAS Proc Sort Data Sets
SAS Merge Datasets
Read Raw Data in SAS
Write Raw Data in SAS
SAS Variable
FIRST. and LAST. Variables in SAS
SAS Operators Guide
SAS Syntax
SAS Format
SAS String Functions
SAS Array
SAS Format
SAS Functions
SAS Concatenate Data Sets
Splitting and Subsetting Datasets in SAS
Decision Making in SAS
SAS Histogram Statement
SAS Bar Chart
SAS Pie Chart
SAS ODS (Output Delivery Systems)
SAS Boxplot
SAS Scatter Plot
SAS Correlation Analysis
SAS Arithmetic Mean
SAS Linear Regression
SAS T-Test
SAS Cross Tabulation
SAS Frequency Distribution
SAS Standard Deviation
SAS Date & Time
SAS Hypothesis Testing
SAS One Way ANOVA
SAS Chi-Square Test
SAS Bland-Altman Analysis
SAS Repeated Measure Analysis
Fishers Exact Test
SAS Numeric Format – SAS
SAS Input Method
SAS SQL
SAS Loop
SAS Loop