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iClass Training in Gurgaon India

SaS Training Gurgaon Benefits

  • Real Time Trainers
  • 100% Placement
  • Small Training Batch
  • Flexible Timings
  • Practical Guidance
  • Excellent Lab Facility
  • SaS Resume Preparation
  • Hands on Experience
  • sas Certification Support

 

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SaS training Gurgaon Reviews

SaS training Gurgaon
Reviewed by
Nandak
on
Nandak from Gurgaon, I have got job in Gurgaon after completion of my sas course from iClass training in Gurgaon. I thank my sas trainer and iClass training for getting job.

Rating:
4/5 4 Star Rating: Very Good

SaS training Gurgaon
Reviewed by
Sajili
on
There is change in my career as I have done this Statistical Analysis System (SAS) course from iClass training institute , they have taken me to next level.

Rating:
5/5 5 Star Rating: Excellent

Best SaS training institute in gurgaon

SaS Training in Gurgaon & Best SAS BI/Clinical Research/DI Studio Training Institute in Gurgaon

5 Star Rating: Excellent 5 out of 5 based on 9 ratings. 2 user reviews.

iClass Gurgaon provides real-time and placement focused sas training in gurgaon . Our sas bi clinical di studio programming course includes basic to advanced level and our sas course is designed to get the placement in good MNC companies in gurgaon as quickly as once you complete the SaS certification training course. Our sas trainers are sas bi clinical di studio programming certified experts and 8 years experienced working professionals with hands on real time multiple SaS projects knowledge. We have designed our sas course content and syllabus based on students requirement to achieve everyone's career goal.

iClass Gurgaon offers sas training with choice of multiple training locations across gurgaon. Our sas bi clinical di studio programming training centers are equipped with lab facilities and excellent infrastructure. We also provide sas bi clinical di studio programming certification training path for our students in gurgaon. Through our associated sas training centers, we have trained more than 166 sas students and provided 97 percent placement. Our sas bi clinical di studio programming course fee is value for money and tailor-made course fee based on the each student's training requirements. sas training in gurgaon conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

SaS training course content and Syllabus in Gurgaon

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
  • noninteractive 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
  • SAShelp library
  • SASuser 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
  • instream 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 informats with list input
  • supplying an informat 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
  • flowover
  • missover
  • truncover
  • 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
  • subsetting 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 subsetting if statements
  • methods of creating new data sets with a subset
  • subsetting records from an external file with a subsetting if statement
  • subsetting observations in a data step with a where statement
  • subsetting observations in a proc step with a where statement
  • subsetting observations in proc sql
  • difference between if and where

SAS informats and formats

  • overview
  • using SAS informats
  • 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

  • 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

SaS training duration in Gurgaon

Regular Classes( Morning, Day time & Evening)

  • Duration : 4 weeks

Weekend Training Classes( Saturday, Sunday & Holidays)

  • Duration : 5 Weeks

Fast Track Training Program( 2+ hours classes daily)

  • Duration : within 2 weeks

SaS trainer Profile & Placement

Our SaS Trainers

  • More than 8 Years of experience in SaS Technologies
  • Has worked on 8 realtime SaS projects
  • Working in a MNC company in Gurgaon
  • Trained 166+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • SaS certified Professionals

SaS (sas bi clinical di studio programming) Placement Training in Gurgaon

  • More than 166+ students Trained
  • 97 percent Placement Record
  • 83 Interviews Organized
  • Placement Supported by InterviewDesk.com

SaS training Locations in Gurgaon

Our SAS BI/Clinical Research/DI Studio Training centers

  • Adampur
  • Budhera
  • Budhera
  • Canal Colony
  • Choma
  • Ghata
  • Gurgaon
  • IMT Manesar
  • Jharsa
  • Mohammadpur
  • OM Nagar
  • Patel nagar
  • Pratap Nagar
  • Prem Nagar
  • sadhrana
  • Sanjay Colony
  • Sector 13
  • Sector 24
  • Sector 28
  • Sector 3
  • Sector 37
  • Sector 43
  • Sector 52
  • Sector 66
  • Sector 68
  • Sector 79

SaS training batch size in Gurgaon

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 4 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 6 (maximum)

Fast Track batch

  • Seats Available : 3 (maximum)

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