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About SAS Tutorial

SAS is a leader in business analytics. Through innovative analytics it caters to business intelligence and data management software and services.

SAS transforms data into insight which can give a fresh perspective on business.

Unlike other BI tools available in the market, SAS takes an extensive programming approach to data transformation and analysis rather than a pure drag drop and connect approach.

That makes it stand out from the crowd as it gives much finer control over data manipulation. SAS has a very large number of components customized for specific industries and data analysis tasks.

This tutorial will cover below mentioned topics :

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SAS Basic
Overview
Environment
User Interface
Program Structure
Basic Syntax
Data Sets
Variables
Strings
Arrays
Numeric Formats
Operators
Loops
Decision Making
Functions
Input Methods
Macros
Dates & Times
------------------------------------------------------------
SAS Data Set Operators
Read Raw Data
Write Data Sets
Concatenate Data sets
Merge Data Sets
Subsetting Data Sets
Sort Data Sets
Format Data Sets
SQL
ODS
Simulations
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SAS Simulations
Histograms
Bar Charts
Pie Charts
Scatter Plots
Box Plots
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SAS Basic Statistical Procedure
Arithmetic Mean
Standard Deviation
Frequency Distributions
Cross Tabulations
T Tests
Correlation Analysis
Linear Regression
Bland Altman Analysis
Chi Square
Fishers Exact Tests
One Way Anova
Hypothesis Testing

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Frequently Asked Questions(FAQ)

What is SAS and what does it specialize in?

SAS is a leader in business analytics and specializes in business intelligence and data management software and services.

How does SAS differ from other BI tools?

Unlike other BI tools, SAS takes an extensive programming approach to data transformation and analysis, giving finer control over data manipulation.

What topics are covered in this SAS Tutorial?

This tutorial covers topics such as SAS basics, data set operators, simulations, and basic statistical procedures.

What are some examples of SAS basic topics covered in this tutorial?

Some examples of SAS basic topics covered are program structure, basic syntax, variables, loops, decision making, and functions.

What are some examples of SAS data set operators covered in this tutorial?

Some examples of SAS data set operators covered are reading raw data, writing data sets, merging and concatenating data sets, subsetting data sets, and sorting data sets.

What are some examples of SAS simulations covered in this tutorial?

Some examples of SAS simulations covered are histograms, bar charts, pie charts, scatter plots, and box plots.

What are some examples of SAS basic statistical procedures covered in this tutorial?

Some examples of SAS basic statistical procedures covered are arithmetic mean, standard deviation, frequency distributions, cross tabulations, T tests, correlation analysis, linear regression, and hypothesis testing.
author
Please, how can I download this STATISTICAL ANALYSIS SOFTWARE APP ? I have been looking for it all around
Hamzat Sehlemous
author
Cool
Emmanuel Edward
author
It's nyc
Sunny Mahendra