Best SAS Training in
Noida & Best SAS Training Institute in Noida
Best SAS training
institute in noida
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SaS training course
content and Syllabus in Noida
SaS Course Content
introduction to SAS
Introduction
Need for SAS
Who uses SAS
What is SAS?
Overview of base SAS
software
Data management
facility
Structure of SAS
dataset
SAS program
Programming language
Elements of the SAS
language
Rules for SAS
statements
Rules for most SAS
names
Special rules for
variable names
Types of variables
Data analysis and
reporting utilities
Traditional output
Ways to run SAS
programs
SAS windowing
environment
No interactive mode
Batch mode
Interactive line mode
Running programs in
the SAS windowing environment
How SAS works
Writing your first
SAS program
A simple program to
read raw data and produce a report
Enhancing the program
More on comment
statements
Internal processing
in SAS
How SAS works
The compilation phase
The execution phase
Processing a data
step a walkthrough
Creating the input
buffer and the program data vector
Writing an
observation to the SAS data set
Four types of SAS
libraries
SAS libraries
Work library
SAS help library
SAS user library
Reading raw data into
SAS
What is raw data?
Definitions
Data values
Numeric value
Character value
Standard data
Nonstandard data
Numeric data
Character data
Choosing an input
style
List input
Modified list input
Column input
Formatted input
Named input
In stream data
Creating multiple
records from single input row
Reading data from
external files
Reading blank
separated values (list or free form data)
Reading raw data
separated by commas (.csv files)
Reading in raw data
separated by tabs (.txt files)
Using informants with
list input
Supplying an informant
statement with list input
Using list input with
embedded delimiters
Reading raw data that
are aligned in columns
Method 1 column input
Method 2 formatted
input
Using more than one
input statement the single trailing @
Reading column data
that is on more than one line
Mixed-style input
Infile options for
special situations
Flow over
Miss over
Turnover
Pad
Using lrecl to read
very long lines of raw data
Checking your data
after it has been read into SAS
Reading data from a
dataset
Introduction
Set statement
overview
Automatic variables
in SAS
Interleave multiple
SAS data sets
Combine multiple SAS
data sets
Creating &
modifying variables
Creating multiple
datasets in a single data-step
Subletting
observations
Conditional SAS
statements
Logical and special
operators
The SAS supervisor
and the set statement
Efficiency and the
set statement
Know your data
Set statement data
set options
Drop and keep options
Rename option
Firstobs and obs
options
In option -
Where option -
Other set statement
options
End option
Key option
Nobs option
Point option
Do loops and the set
statement
Introduction to
retain statement
Carry over values
from one observation to another
Compare values across
observations
Assign initial values
Determining column
order in output dataset
SAS system options
Reading data from a
dataset
Input SAS data set
for example
Selecting
observations for a new SAS data set
Deleting observations
based on a condition
Accepting
observations based on a condition
Comparing the delete
and sub setting if statements
Methods of creating
new data sets with a subset
Sub setting records
from an external file with a sub setting if statement
Sub setting
observations in a data step with a where statement
Sub setting
observations in a proc step with a where statement
Sub setting
observations in proc sql
Difference between if
and where
SAS informants and
formats
Overview
Using SAS informants
Input statement
Input function
Inputn and inputc
functions
Attrib and informat
statements
Using SAS formats
Format statement in
procedures
Put statement
Put function
Putn and putc
functions
Bestw. Format
Additional comments
SAS functions
Unix-SaS
Categories of
functions
SAS character
functions
Functions that change
the case of characters
upcase
lowcase
propcase
functions that remove
characters from strings
function compbl
function compress
functions that search
for characters
function anyalnum
function anyalpha
function anydigit
function anypunct
function anyspace
function notalnum
function notalpha
function notdigit
function notupper
functions that search
strings
find and findc
index, indexc, and
indexw
functions to verify
data
function verify
functions that
extract parts of strings
function substr (on
the left-hand side of the equal sign)
function substrn
functions that join
two or more strings together
function cat
function cats
function catt
function catx
functions that remove
blanks from strings
function left
function right
function trim
function trimn
function strip
functions that
compare strings
function compare
functions that divide
strings into "words"
function scan
function scanq
functions that
substitute letters or words in strings
function translate
function tranwrd
functions that
compute the length of strings
function length
function lengthc
function lengthm
function lengthn
functions that count
the number of letters or substrings in a string
function count
function countc
miscellaneous string
functions
function missing
function repeat
function reverse
SAS date and time
functions
introduction
what is a SAS date
and time literal?
date and time
functions
functins to create
date and time values
functions to takie
datetime values apart
functions to get
quarter ,year or day of the date
functions that work
with intervals
using formats for
date and time
system options
fordate and time
an introduction to
arrays and array processing
why do we need
arrays?
basic array concepts
array statement
array references
variable name array
reference
using array indexes
one dimension arrays
multi-dimension
arrays
temporary arrays
sorting arrays
determining array
bounds lbound and hbound functions
when to use arrays
common errors and
misunderstandings
invalid index range
function name as an
array name
array referenced in
multiple data steps, but defined in only one
by - group processing
definitions for
by-group processing
by-group processing
by value
by group
first.variable and
last.variable
modifying SAS data
sets examples.
invoking by-group
processing
preprocessing input
data for by-group processing
sorting observations
for by-group processing
indexing for by-group
processing
how the data step
identifies by groups
processing
observations in a by group
how SAS determines
first.variable and last.variable
processing by-groups
in the data step
overview
processing by-groups
conditionally
data not in
alphabetic or numeric order
data grouped by
formatted values
overview of methods
for combining SAS data sets
definitions
concatenating
interleaving
one-to- one reading
or one-to-one merging
match-merging
updating
modifying
definitions for
reading, combining, and modifying SAS data sets
reading a SAS data
set
combining SAS data
sets
modifying SAS data
sets
overview of tools
reading SAS data sets
reading a single SAS
data set
reading from multiple
SAS data sets
combining SAS data
sets basic concepts
one-to-one
one-to-many and
many-to-one
many-to-many
access methods
sequential versus direct
sequential access
direct access
one-to-one reading
data step processing
during a one-to-one reading
one-to-one merging
match-merging
updating with the
update and the modify statements
definitions
syntax of the update
statement
syntax of the modify
statement -
updating with
nonmatched observations, missing values, and new variables -
using an index with
the modify statement
SAS procedures
introduction
the anatomy of a proc
the proc statement
title and footnote
statements
by statement
label statement
format statement
run or quit statement
description of data
used in reports
SAS reporting
procedures
procs for all that
detail
using proc print
using proc sql
proc report
procs that summarize
using proc chart
using proc freq
using proc means
using proc univariate
introduction to proc
tabulate
data manipulation and
management procedure
proc sort
proc datasets
proc format
proc contents
other important procs
proc transpose
definitions
proc printto
compare procedure
proc append
how to import an
excel file into SAS
introduction to proc
sql
introduction
why learn proc sql?
select statement
the select statement
syntax
a simple proc sql
a complex proc sql
limiting information
on the select
creating new
variables
the calculated option
on the select
using labels and
formats
the case expression
on the select
additional select
statement clauses
remerging
remerging for totals
calculating percentage
sorting the data in
proc sql
sort on new column
subsetting using the
where
incorrect where
clause
where on computed
column
selection on group
column
use having clause
creating new tables
joining datasets
using proc sql
inner join
joining three or more
tables
outer joins
including nonmatching
rows with the right outer join
selecting all rows
with the full outer join
concatenating query
results
an introduction to
SAS macros
introduction
SAS macro overview
traditional SAS
programming
the SAS macro
language
macro language
components
macro variables
macro statements
macro processor flow
automatic macro
variables
macro debugging
options
what is a macro?
defining and using
macros
positional macro
parameters
keyword macro
parameters
conditional macro
compilation
the %do statement
SAS data step
interfaces
the output delivery
system (ods)
introduction
creating various
types of reports listing output
other destinations
html
pdf and postscript
rtf files
microsoft excel
adding style to your
reports
locate existing
styles
ods style= option
customize your
reports
ods select; and ods
exclude;
other customizations
ods proclabel= ;
ods proctitle; and
ods noproctitle;
advanced techniques
ods document
proc template
introduction to
diagnosing and avoiding errors
introduction
understanding how the
SAS supervisor checks a job
understanding how SAS
processes errors
distinguishing types
of errors .SAS recognizes four kinds of errors
syntax errors
execution-time errors
data errors
semantic errors
diagnosing errors
diagnosing syntax
errors
diagnosing data
errors
using a quality
control checklist
advance topics in SAS
performing advanced
queries using proc sql
introducing macro
variables
creating and using
macro programs
storing macro
programs
creating samples and
indexes
using lookup tables
to match data
modifying SAS data
sets and tracking changes
introduction to
efficient SAS programming
Office Address:
Webtrackker Technology
B- 47, Sector- 64 (Noida)
Phone: 0120-4330760, 880-282-0025
Email: info@webtrackker.com
Website: http://www.webtrackker.com/
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