Getting Started with SAS
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Introduction to SAS
SAS Environment Setup
Features of SAS
Pros and Cons of SAS
SAS Basic Terminologies
SAS Applications
SAS Syntax Cheat Sheet
SAS Software & its Types
SAS User Interface
SAS Variables & their Types
SAS Operators- Arithmetic, Logical, Comparison
Entering & Reading Raw Data in SAS
Writing Raw Data in SAS
SAS Program Structure
SAS- FIRST. & LAST. Variables
SAS Format- Built-in & User-Defined
SAS Decision Making Statements
SAS Certification Guide
Careers in SAS
Best SAS Books

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SAS String Functions
SAS Arrays and Array Operators
SAS Functions
SAS Loops- Do, Do While, Do Until
SAS Macros
SAS Data Sets- Special & Built-in
SAS Proc Sort Data Sets
Merging SAS Data Sets
Concatenating Data Sets in SAS
SAS- Splitting and Subsetting Datasets
SAS Histogram Statement with Univariate Procedure
SAS Bar Charts
SAS Pie Charts
SAS ODS (Output Delivery Systems)
SAS BoxPlots
SAS Scatter Plots
SAS/IML Software
SAS Simulation Studio

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SAS Correlation Analysis
Linear Regression in SAS
SAS T-Test
SAS Cross Tabulation
SAS Frequency Distribution
SAS Arithmetic Mean
Standard Deviation in SAS
Date and Time in SAS
SAS Hypothesis Testing
SAS One Way ANOVA
SAS Chi-Square Test
SAS Bland-Altman Analysis
SAS Repeated Measure Analysis
SAS Fishers Exact Test
Numeric Format in SAS
SAS Input Method
Introduction to SAS SQL
SAS Interview Questions- Part 1
SAS Interview Questions- Part 2
SAS Interview Questions- Part 3
SAS Quiz- Part 1
SAS Quiz- Part 2
Exploring the Software
Let’s take a look at some facts about SAS and its philosophies.
SAS, earlier known as Statistical Analysis System, is a software suite by SAS Institute for tasks like advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics. When North Carolina State University re-hired Anthony Barr, the development of SAS took off in 1966 to allow his analysis of variance and regression software to run on IBM System/360 computers. Later, James Goodnight joined him. National Institute of Health funded this project hoping to better analyze agricultural data to improve crop yields.
Today, SAS can mine, alter, manage, and retrieve data from multiple sources and perform statistical analysis on it.

Anthony Barr

James Goodnight