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SAS Base & Advanced Practical Training Course

4 Star Rating: Very Good4.30 out of 5 based on 450 ratings.

SAS Base & Advance + Project + Interview Prep
How SAS works / SAS Functions
An Introduction to Arrays and Array Processing
Overview of methods for combining SAS data sets
Introduction to diagnosing and avoiding errors
Job-Readiness – Interview Preparation 

 

 

 

 



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SAS refers to a statistical analysis system which is a data analysis tool specifically designed for performing statistical analysis on various kinds of database. It is known as a programming software which is highly popular in the Data Analytics industry mainly utilized for storing, sorting, retrieving, analysing and development reports from the data. It can easily read and retrieve information from spreadsheet and database tools and display the results of the statistical analysis in the form of graph, tables, PDF and HTML documents. Any candidate who wants to pursue a career in data analysis and data science must acquire knowledge and skills in SAS. With the help of SAS Training in Delhi provided by Talent Magnifier, you will get to learn job oriented Analytics methods and techniques using SAS data science tool. The training program is available both in house and online format and will teach the participants utilizing data set techniques and data analysis to provide desired results for the company. The SAS Training program is intelligently and specifically designed for freshers and working professionals who are looking to either enter into the data analysis field or expand their skills to achieve growth in their career. Anyone is eligible to attend the training course as long as they have a graduation degree, especially in IT field. Therefore, if you are good at mathematics and making predictions, and want to become a valuable asset for any business industry, then it is recommended for you to attend SAS Training Course from Talent Magnifier to have been providing job oriented and industry focus training to the participants for the last 5 years successfully.

PROGRAMME HIGHLIGHTS

Valid Certification

When the course is completed you will get a valid certification that will help you enter or progress in the corporate world.

Seasoned Faculty Members

Our trainers are industry professionals who have deep expertise in imparting training and working in the corporate world.

100% Placement Assistance

We ensure that you get many opportunities to give interviews to ensure that you get a good job. Our placement assistance team is highly efficient.

Lab Facility

You get the opportunity to work in a real lab where a few technical tests would help you learn better.

Awesome Workshops

Real time projects help you learn new concepts better and top class case studies let you learn from real-life examples.

Administrative Support

A skilled admin team helps you to plan your schedule better and get rid of all the doubts. They also offer support during admission and placement processes.

The SAS training course in Delhi NCR will provide you all the necessary skills required to become a professional data scientist and data analyst. You will learn to apply data manipulation and Optimisation methods and various advanced statistical concepts which include linear regression, clustering, and decision tree and learn to apply data analysis techniques in order to resolve Real world business issues and product modelling techniques. The training covers a wide range of exclusive topic such as reading data from data set, SAS formats and functions, group processing, concatenating, SAS procedures, proc SQL, SAS macros, output delivery system, diagnosing and troubleshooting errors, job readiness, and much more. Some of the various skills that you will acquire from the SAS training course include understanding the importance of data science and different analytical techniques, gaining understanding of graphic user interface, library statement, import and export of data, statistics, hypothesis testing, logistic regression, interleaving, one to one merging, performance data exploration techniques using the tool, time series model and much more.

The course content of the SAS training course is designed by 20+yr experienced industry experts while keeping the current requirement of the industry standards in mind. The training will be incredibly beneficial for Aspiring it professionals such as software developers, data analysts, the scientist, predictive analysis, project manager, etc. The training will be conducted by subject matter experts with over 20 years of experience in the field and relevant certification who will be responsible for guiding the participants towards success. Apart from the real time practical training that will be offered to the participants, different types of live projects will also be provided to test their learning skills and offer them better understanding of resolving business issues. At the end of the SAS training, all the applicants will be awarded with a valid certification in data analysis and SAS that would allow them to gain a competitive edge over other candidates during the interview. They will also be given guaranteed job placement support from the administration to easily clear any job interview at MNC for data scientist and data analyst job profile. The entire code can easily be completed within one month or simply 45 hours which can be separated into weekdays and weekend batches. The entire fees for the course is very resionalble. which the student can easily submit in one time or in instalments. With all these additional supports and exquisite features, one can easily become a professional data and statistical analyst and pursue a promising job profile at a reputed organisation soon after completion of the course.

For those students and participants who wants to become a professional data analyst and data scientist should have a question why this should learn SAS and not any other analysis tool. To answer their questions, there are various reasons why one should learn SAS as it offers A Remarkable career benefits to the participant which cannot be find in any other Analytics tool. Please refer to the below points to properly understand the reason why you should learn SAS:

  1. According to Gartner, SAS is a leader in data science platform and is one of the most popular Analytics tool utilized by millions of business Industries all over the world for predictive analysis and statistical analysis.
  2. After learning basic and advanced SAS, you will be able to enter into various fields such as Information Technology and Services, retail and eCommerce, social media, financial services and hospital and Healthcare.
  3. It is one of the most powerful business Analytics tool which allow any Enterprise to enhance their business performance and productivity making it one of the most important tool for any business organisation.
  4. Many high profile companies such as Google, Netflix, Facebook, Twitter and HSBC constantly hire professional and certified data analysts with extreme knowledge and expertise in SAS Analytics tool. Therefore, you can easily secure a promising and appropriate career at any MNC.
  5. The average salary of a data analyst with SAS comprehension and expertise in India is around 3 lakh per annum as of 2017. It is expected to increase greatly in the upcoming years.
  6. There is a huge and excess of demand for data scientist and data analyst as business industries are now understanding the importance of data analysis and how it can help them to enhance their performance. Therefore, you can enjoy both recognition and job security after acquiring skills in SAS.

These are some of the most important benefits you are going to enjoy after learning and mastering SAS Analytics tool. By attending the SAS training course in Delhi NCR provided by Talent Magnifier, you will get to become a well-recognised and professional data analyst within a short span of time and take your career to new level. For more information regarding the course or our Institute, please visit our centre in Delhi.

SAS training course in Delhi NCR is a dedicated program which would allow the student to become an industry focused professional with relevant and comprehensive skills to easily become an important personnel for the organisation. Some of the major highlights of the training program include:

  • 45 hours of instructor LED classroom
  • Highly certified and professional trainers
  • Real time practical classes
  • Workshops and handouts
  • Live projects and assignments
  • Highly updated and quality course content
  • Outstanding administration support
  • Free trial class
  • Weekdays and weekend batch timings

The total duration of the training course is 40 to 45 hours which is divided into base and advanced topics of SAS. Valid certification and 100% job placement support is the major attraction of the training program.

Course Details

SAS Base & Advanced Practical Training Course

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
  • 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
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
SAS informats and formats
SAS functions
SAS functions
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
By - group processing
  • 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
  • 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
  • rtf files
  • microsoft excel
  • customize your reports
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
  • Interview Preparation - HR
  • Interview Preparation - HR and Domain
  • Mock Interviews - HR and Domain
  • Mock Interviews - External Industry Experts

Course Time & Duration Details

Course ModulesDuration (Hours)Duration (Weekend)
(Saturday- Sunday)
Duration (Weekdays)
(Tuesday - Friday)
SAS Base20 Hours1 Month1 - 2 Weeks
SAS Advance25 Hours1 - 1.5 Months2 Weeks
SAS Base & Advance40 - 45 Hours2 - 2.5 Months1 - 1.5 Months

Learners Reviews & Placement

FAQ

At Talent Magnifier, you will get real time practical classes supervised by 18+ year experienced experts to gain better knowledge of SAS.
No, it is not necessary to have any technical skills to attend the training program, however, it can be beneficial for the course.
You can visit our official website and submit your query through our quotation for simply give us a call at any of these number 9999420394 | 9999420393
Talent Magnifier contains well-crafted course curriculum and highly qualified trainers without any experience in the field. We also provide free demo class and our course fees is quite reasonable as compared to others.
There are many projects based on real life in SAS that you will be working on to gain in hand and comprehensive skills in the field.
If you feel the examination to complete the program, you will be given two more instances to successfully complete it. After that, you'll have to resubmit the fees in order to learn again.