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SAS is the leader in business intelligence and predictive analytics software. With 32 years' experience and 44,000 customer sites worldwide, we can help you manage performance by transforming your data into predictive insights. SAS software helps companies in every industry transform their data into predictive insights about company performance, customers, markets, risks and more. SAS is one of the largest software companies in the world. With consistent revenue growth and profitability since 1976, SAS has the depth of resources to sustain excellence in product development and customer support. While many competitors have merged, changed ownership or simply vanished, privately held SAS has remained focused on our primary mission - delivering superior software and enhancing customer relationships. Contents : - Fundamentals of SAS . Introduction to SAS . SAS
Language . SAS Macros . Overview of frequently used
SAS Procedures . Proc Print, Proc Means, Proc
Univariate, Proc Freq, . Running SAS programs in SAS
Display Manager & Software Windows . Invoking SAS via a shortcut
icon or Start Menu . Program Editor Window - Explaining
SAS Syntax . Output Window - Examining
program output . Log Window - Checking the
SAS log for errors . Creating SAS code or Opening
a SAS program . Running a program . Recalling Text . Descriptive information and
statistics
and
Proc GLM. Ask to look for By and Class . An overview of statistical
tests in SAS (specially for . Proc TTest, Proc Freq (Look
for options CHISQ, . Exploring data with graphics . Proc Gchart (vbar, hbar, pie
statements), Proc Gplot, Fundamentals of SAS . Using where statement with
SAS procedures . Missing values in SAS . Common SAS options . Overview of SAS syntax of
SAS procedures . Common error messages in SAS Reading Raw Data into SAS . Reading raw data into SAS . Basic Data Manipulation in SAS . Creating and recoding variables . Using SAS functions for making/recoding
variables . Subsetting variables and observations . Labeling data, variables and
values . Using Proc Sort and the By
statement . Making and using permanent
SAS data files
. Merging Data Files via Data
Step . Merging Data Files via Proc
SQL . Concatenating (stacking) SAS
data files . Working across variables . Collapsing across observations
in SAS via Proc Means . Collapsing across observations
in SAS via Proc SQL . Collapsing across observations
in SAS via Data Steps . Reshaping data from wide to
long via Proc Transpose . Reshaping data from wide to
long via Data Step . Reshaping data from long to
wide via Proc Transpose . Reshaping data from long to
wide via Data Steps . Creating >>> · Introduction of SAS /Stat · Introduction to Basic Statistics · Statistical Procedures · Introduction of SAS /Graph · Basics of Plots & Graphs · Graphical Procedures
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