SAS Training in Gurgaon | SAS Analytics Training Institute in Gurgaon

Learn how to use SAS for data management. Enroll today to learn from a SAS expert.

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Job Assured Program 100% Assistance Till You Get Job

Course Duration 3 Months + Life Time Access

Industry Experienced Trainer Get Trained from Experts

Training Format Classroom/Live Online

Next Batch: 24 May, 2024

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SAS (Statistical Analysis System) is analytical software that is used to mine, alter, manage, and retrieve data from various sources and execute analysis on it. It is used for data management, data analytics, multivariate analysis, predictive modeling, business intelligence. It has a unique graphical interface that can easily be managed on click, therefore suitable for non-programmers.

Key Highlights

100% Placement Support

Free Course Repeat Till You Get Job

Mock Interview Sessions

1:1 Doubt Clearing Sessions

Flexible Schedules

Real-time Industry Projects

Placement Stats

Maximum salary hike

100%

Average salary hike

40%

Our Alumni in Top Companies

Batches Timing for SAS Professional Certification

Track	Weekdays (Tue-Fri)	Weekends (Sat-Sun)	Fast Track
Course Duration	2 Months	3 Months	15 Days
Hours Per Day	1-2 Hours	2-3 Hours	5 Hours
Training Mode	Classroom/Online	Classroom/Online	Classroom/Online

SAS Professional Certification

Earn your Certificate after the completion of the course.

This certification helps you gain skills and knowledge to jump start journey towards becoming a successful SAS Certified Professional.

Post your Certificate on LinkedIn, Meta, Twitter and get recognition of the Hiring Managers from the top-notch companies.

Enquire Now

Course Curriculum

Gyansetu’s SAS Certification training will make you a master in working with spreadsheets and databases. This training will help you gain data exploration and manipulation, business analytics, data modelling and data visualization skills.

Introduction to SAS 19 Topics

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 STATEMENTSRULES FOR MOST SAS NAMES
SPECIAL RULES FOR VARIABLE NAMESTYPES 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 15 Topics

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 SETFOUR TYPES OF SAS LIBRARIES
SAS LIBRARIES
WORK LIBRARY
SASHELP LIBRARY
SASUSER LIBRARY

READING RAW DATA INTO SAS 37 Topics

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 FOR 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
STOPOVER
USING LRECL TO READ VERY LONG LINES OF RAW DATA
CHECKING YOUR DATA AFTER IT HAS BEEN READ INTO SAS

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

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

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

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

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

DEFINITIONS FOR BY-GROUP PROCESSING
BY-GROUP PROCESSING
BY VALUE
BY GROUP
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
NOT IN ALPHABETIC OR NUMERIC ORDER
DATA GROUPED BY FORMATTED VALUES

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 TOOLSREADING 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

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
PROC SQL
PROC REPORT
PROCS THAT SUMMARIZE
USING PROC CHART
USING PROC FREQ
USING PROC MEANS
USING PROC UNIVARIATE
INTRODUCTION TO PROC TABULATE
IDATA MANIPULATION AND MANAGEMENT PROCEDURE
PROC SORT
PROC DATASETS
PROC FORMAT
PROC CONTENTS
THER IMPORTANT PROCS
PROC TRANSPOSE
PROC PRINTTO
PROC COMPARE
PROC APPEND
PROC IMPORT & PROC EXPORT

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
JOINING DATASETS USING PROC SQL
INNER JOIN
OUTER JOINS
INCLUDING NONMATCHING ROWS WITH THE RIGHT OUTER JOIN
SELECTING ALL ROWS WITH THE FULL OUTER JOIN
CONCATENATING QUERY RESULTS

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

INTRODUCTION
CREATNG 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
DIAGNOSING AND AVOIDING ERRORS

UNDERSTANDING HOW THE SAS SUPERVISOR CHECKS A JOB
UNDERSTANDING HOW SAS PROCESSES ERRORS
DISTINGUISHIN 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

Industry Ready Projects

Get Real-World Experience

Stock Market Prediction

Working on historical stock market data fields like Price, Volume and many other metrics. Identifying relevant features that impact prices. Working on SAS models such as regression, time series analysis, machine learning algorithms. Access model performance like accuracy, precision, recall.

Retail Data Analysis

Gathering retail data like sales records, market trends, demography, inventory, etc. Cleaning the data and understanding the patterns and relations within data. Use statistical models to understand future trends. Presenting reports and visualization for stakeholders.

100+

Hours of content

25+

Live sessions

Tools and software

Skills you can add in your CV after this course

Who is this course for?

Clinical Research Professionals
BI Professionals
Insurance Analysts
Data Science Professionals
Healthcare Analysts
Retail Analysts

Career Assistance we offer

Job Opportunities Guaranteed

Get a 100% Guaranteed Interview Opportunities Post Completion of the training.

Access to Job Application & Alumni Network

Get chance to connect with Hiring partners from top startups and product-based companies.

Mock Interview Session

Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.

Live Interactive Sessions

Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.

Career Oriented Sessions

Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.

Resume & Naukri Profile Building

Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.

Top Companies Hiring

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Gyansetu Learner Support

+91 9999 201 478 +919999201478

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Our Learners Testimonials

Rohit Kumar

Everything about the training was absolutely amazing. Excellent Instructor and wonderful Customer Service. Highly recommend it.

Shivam Garg

Gyansetu's practical learning approach has proven invaluable. Institute's emphasis on hands-on projects and real-world applications of Data Analytics have enhanced my ability to effectively manage and analyze data for business insights.

Sanjeev Goyal

As a data analyst at Xpressbees, I've benefited greatly from Gyansetu's practical learning methodologies. the institute's emphasis on hands-on projects and real-world applications of Data Analytics principles equipped me with the skills needed to analyze diverse datasets and derive valuable insights for my organization.

Self Assessment Test

Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.

Frequently Asked Questions

What are the prerequisites for taking up this SAS Certification training?

There is no prerequisite to join this course.

Why should you do SAS Certification from Gyansetu?

Though there are many online courses available online but we at Gyansetu understand that teaching any course is not difficult but to make someone job-ready is the most important task. This is the reason we have our course curriculum designed and delivered by industry experts along with capstone industry ready projects which will drive your learning through real-time IT industry scenarios and help in clearing interviews.

How long is the course duration?

The total duration of the SAS Certification course is 100 hours (50 Hours of live Instructor-Led training and 50 hours of self-paced learning).

We have seen getting a relevant interview call is not a big challenge in your case. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. We help you prepare your CV by adding relevant projects and skills once 80% of the course is completed. Our placement team will update your profile on Job Portals, this increases relevant interview calls by 5x.

Interview selection depends on your knowledge and learning. As per the past trend, the initial 5 interviews are a learning experience of :-

What type of technical questions are asked in interviews
What are their expectations?
How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

We have seen getting a technical interview call is a challenge at times. Most of the time you receive sales job calls/ backend job calls/ BPO job calls. No Worries!!

Our Placement team will prepare your CV in such a way that you will have a good number of technical interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. Our placement team will update your profile on Job Portals, this increases relevant interview call by 3x.

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of –

What type of technical questions are asked in interviews
What are their expectations?
How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get a job after appearing in 6-7 interviews.

We have seen getting a technical interview call is hardly possible. Gyansetu provides internship opportunities to the non-working students, so they have some industry exposure before they appear in interviews. Internship experience adds a lot of value to your CV and our placement team will prepare your CV in such a way that you will have a good number of interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training and we will update your profile on Job Portals, this increases relevant interview call by 3x.

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of :-

What type of technical questions are asked in interviews
What are their expectations?
How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

Yes, a 1:1 faculty discussion and demo session will be provided before admission. We understand the importance of trust between you and the trainer. We will be happy if you resolve all your queries before you start classes with us.

We understand the importance of every session. Session’s recording will be shared with you and in case of any query, faculty will give you extra time to answer your queries.

Yes, we understand that self-learning is most crucial and for the same we provide students with PPTs, PDFs, class recordings, lab sessions, etc., so that a student can get a good handle of these topics.

We provide an option to retake the course within 3 months from the completion of your course, so that you get more time to learn the concepts and do the best in your interviews.

We believe in the concept that having less students is the best way to pay attention to each student individually and for the same our batch size varies between 5-10 people.

Yes, we have batches available on weekends. We understand many students are in jobs and it’s difficult to take time for training on weekdays. Batch timings need to be checked with our counsellors on +91-9999201478.

Yes, we have batches available on weekdays but in limited time slots. Since most of our trainers are working, the batches are available in morning hours or in the evening hours. You need to contact our counsellors to know more about this on +91-9999201478.

You don’t need to pay anyone for software installation, our faculties will provide you with all the required software’s and will assist you in the complete installation process.

Our faculties will help you in resolving your queries during and after the course.