SAS Training Institute in Noida

Best SAS Training in Noida & Best SAS Training Institute in Noida

Best SAS training institute in noida

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WEBTRACKKER Noida provides Best SAS training in noida based on current industry standards that help attendees to secure placements in their dream jobs at MNCs. WEBTRACKKER Provides Best SAS Training in Noida. WEBTRACKKER is one of the most credible SAS training institutes in Noida offering hands on practical knowledge and full job assistance with basic as well as advanced level SAS training courses. At WEBTRACKKER SAS training in noida is conducted by subject specialist corporate professionals with 7+ years of experience in managing real-time SAS projects. WEBTRACKKER implements a blend of academic learning and practical sessions to give the student optimum exposure that aids in the transformation of naïve students into thorough professionals that are easily recruited within the industry.

At WEBTRACKKER’s well-equipped SAS training center in Noida aspirants learn the skills for SAS Basis, SAS ABAP, SAS APO, SAS Business Intelligence (BI), SAS FICO, SAS HANA, SAS Production Planning, SAS Supply Chain Management, SAS Supplier Relationship Management, SAS Training on real time projects along with SAS placement training. SAS Training in Noida has been designed as per latest industry trends and keeping in mind the advanced SAS course content and syllabus based on the professional requirement of the student; helping them to get placement in Multinational companies and achieve their career goals.

WEBTRACKKER is the biggest SAS training center in Noida with high tech infrastructure and lab facilities and the options of opting for multiple courses at Noida Location. WEBTRACKKER in Noida prepares thousands of aspirants for SAS at reasonable fees that is customized keeping in mind training and course content requirement of each attendee.

SAS Training Institute in Noida- SAS training course involves "Learning by Doing" using state-of-the-art infrastructure for performing hands-on exercises and real-world simulations. This extensive hands-on experience in SAS training ensures that you absorb the knowledge and skills that you will need to apply at work after your placement in an MNC.

SAS Training in Noida- WEBTRACKKER Noida is one of the best SAS training institutes in Noida with 100% placement support. WEBTRACKKER has well defined course modules and training sessions for students. At WEBTRACKKER SAS training is conducted during day time classes, weekend classes, evening batch classes and fast track training classes.

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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