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
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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)
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