SAS Training in Chennai

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Learn SAS Training in Chennai from the fundamentals to advanced analytics, and from data science to AI and machine learning helps to obtain competence in implementing advanced analytics techniques utilizing the SAS Programming Language under professional guidance. We also make you familiar with key concepts like SAS Macros, Proc SQL, Decision Trees, Predictive Analysis, Visualization of Data, Modeling Techniques, and Statistical Analysis in real-time using SAS software.

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Tools and languages covered

  • Base SAS ToolBase SAS
  • Raw Data ToolRaw Data
  • Numeric Functions ToolNumeric Functions
  • Data Sets ToolData Sets
  • Array ToolArray

Overview of SAS Training in Chennai

Business intelligence, visual analytics, data management, SAS Data Integration Studio, Base SAS, Advance SAS, Clinical SAS Programming, Predictive Modeling, Clinical Data Manager, Platform Administrator, and Reporting are among the SAS training courses. Additionally, we provide online and offline training modes

  • In order to work with data that were acquired from multiple sources, the Statistical Analysis System was developed. The combined data from various sources is subjected to some sort of statistical analysis in order to provide the desired outcome. We could use software, as expected, to undertake statistical analysis, but we could also use the SAS computer language.

  • The SAS makes it quite simple for a company to deal with the raw data that has been acquired and change it into some meaningful results that benefit the company in many ways.
  • Management of IT
  • The use of data analysis to create a solution based on the output of data processing is particularly prevalent in the world of information technology. Information technology comprises a system for delivering solutions, which would not be feasible without a clear understanding of the data’s shifting trends.
  • In CRM
  • Customer relationship management is extremely important for all businesses since it is the only thing that spurs on growth. Businesses with a sizable customer base must understand how those consumers desire to connect with the firm, which may be accomplished via research.
  • Enterprise Intelligence
  • The analysis in business intelligence uses random data to obtain some valuable information. It all revolves on the analysis of data that SAS applications or platforms introduce.
  • Managing finances
  • Since they are often non-technical individuals, the representatives are expected to work mostly with the visual analysis of the financial data. SAS enables us to work with either a graphical user interface or a programming language, making things simple for all types of users, regardless of their technical knowledge.
  • Productivity estimate
  • It enabled us to assess the performance of several entities, including workers, machines, and others, which was then utilized to produce a productivity report. When a data comparison is needed, approximated data are typically found to be useful.

  • This is an effective Business Analytics tool that companies utilize to better their overall performance. You will learn the skills necessary to work with spreadsheets, large databases, and process debugging in this online SAS course. If you have the SAS Programming certification, you may apply for jobs at high-growth businesses that are looking for SAS specialists to help them improve their decision-making speed.

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Curriculum for SAS Certification Course in Chennai

  • Introduction
  • Getting Data into SAS
  • A Sample SAS Program
  • SAS Names
  • SAS Data Sets and SAS Data Types
  • The SAS Display Manager and SAS Enterprise Guide
  • Problems

  • A Simple Program to Read Raw Data and Producea Report
  • Enhancing the Program
  • More on Comment Statements
  • How SAS Works (a Look Insidethe “Black Box”)
  • Problems

  • Introduction
  • Reading Data Values Separated by Blanks
  • Specifying Missing Values with List Input
  • Reading Data Values Separated by Commas (CSV Files)
  • Using an Alternative Method to Specify an External File Contents ∙ Reading Data Values Separated by Delimiters Other Than Blanks or Commas ∙ Placing Data Lines Directly in Your Program (the DATA LINES Statement) ∙ Specifying INFILE Options with the DATA LINES
  • Reading Raw Data from Fixed Columns— Method 1: ColumnInput ∙ Reading Raw Data from Fixed Columns—Method 2: Formatted Input ∙ Using a FORMAT Statement in a DATA Step versus in a Procedure ∙ Using formats with List Input
  • Supplying an INFORMAT Statement with List Input
  • Using List Input with Embedded Delimiters
  • Problems

  • Introduction
  • SAS Libraries—The LIBNAME Statement
  • Why Create Permanent SAS Data Sets?
  • Examining the Descriptor Portion of a SAS Data Set Using PROC CONTENTS Listing All the SAS Data Sets in a SAS Library Using PROC CONTENTS ∙ Viewing the Descriptor Portion of a SAS Data Set Using the SAS Explorer ∙ Viewing the Data Portion of a SAS Data Set Using PROC PRINT ∙ Viewing the Data Portion of a SAS Data Set Using the SAS VIEWTABLE Window∙ Using a SAS Data Set as Input to a DATA Step
  • DATA _NULL_: A Data Set That Isn’t
  • Problems

  • Introduction
  • Subsetting a SAS Data Set
  • Creating More Than One Subset Data Set in One DATA Step
  • Adding Observations to a SAS Data Set
  • Interleaving Data Sets
  • Combining Detail and Summary Data
  • Merging Two Data Sets
  • Omitting the BY Statementin a Merge
  • Controlling Observations in a MergedData Set
  • More Uses for IN Variables
  • When Does a DATA Step End?
  • Merging Two Data Sets with Different BY Variable Data Types
  • One-to-One, One-to-Many
  • Updating a Master File from a Transaction File
  • Problems

  • Introduction
  • Using the Import Wizard to Convert a Spreadsheet to a SAS Data Set
  • Creating an Excel Spreadsheet from a SAS Data Set
  • Using an Engine to Read an Excel Spreadsheet
  • Using the SAS Output Delivery System to Convert a SAS Data
  • Set to an Excel Spreadsheet
  • Problems

  • Introduction
  • The IF and ELSE IF Statements
  • The Sub setting IF Statement
  • The IN Operator
  • The WHERE Statement
  • Some UsefulWHERE Operators
  • Problems

  • Introduction
  • DO Groups
  • The Sum Statement
  • The IterativeDO Loop
  • Other Forms of an Iterative DO Loop
  • DO WHILE andDO UNTIL Statements
  • A CautionWhen Using DO UNTIL Statements
  • Problems

  • Introduction
  • How SAS Stores Dates
  • Reading Date Values from Raw Data
  • Computing the Number of Years betweenTwo Dates
  • Demonstrating a Date Constant
  • Computing the Current Date
  • Extracting the Day of the Week, Day of the Month, Month, and Year from a SAS Date Creating a SAS Date from Month, Day, and Year Values Substituting the 15th of the Month when the Day Value Is Missing
  • Using Date Interval Functions
  • Problems

  • Introduction
  • Functions That Round and Truncate Numeric Values
  • Functions That Work with Missing Values
  • Setting Character and Numeric Values to Missing
  • Descriptive Statistics Functions
  • Computing Sums within an Observation
  • Mathematical Functions
  • Computing Some Useful Constants
  • Generating RandomNumbers
  • Special Functions
  • Functions That Return Valuesfrom Previous Observations
  • Problems

  • Introduction
  • Determining the Length of a Character Value
  • Changing the Case of Characters
  • Removing Characters from Strings
  • Joining Two or More Strings Together
  • Removing Leadingor Trailing Blanks
  • Using the COMPRESS Functionto Remove Characters from a String∙Searching for Characters
  • Searching for Individual Characters
  • Searching for Words in a String
  • Searching for Character Classes
  • Using the Functions for Data Cleaning
  • Describing a Real Blockbuster Data Cleaning Function
  • Extracting Part of a String
  • Substituting Characters or Words
  • Problems

  • Introduction
  • Setting Values of 999 to a SAS Missing Value for Several Numeric Variables.
  • Setting Values of NA and? to a Missing Character Value
  • Converting All Character Values to Lowercase
  • Using an Array to Create New Variables
  • Changing the Array Bounds
  • Temporary Arrays
  • Loading the Initial Values of a Temporary Array from a Raw Data File.
  • Problems

  • Introduction
  • The Basics
  • Changing the Appearance of Your Listing
  • Changing the Appearance of Values
  • Controlling the Observations That Appear in Your Listing
  • Adding Additional Titles and Footnotes to Your Listing
  • Changing the Order of Your Listing
  • Sorting by More Than One Variable
  • Labelling Your Column Headings
  • Adding Subtotals and Totals to Your Listing
  • Making Your Listing Easier to Read
  • Adding the Number of Observations to Your Listing.
  • Double-Spacing Your Listing
  • Listing the First N Observations of Your Data Set
  • Problems

  • Introduction
  • Selecting Variables to Include in Your Report
  • Comparing Detail and Summary Reports
  • Producing a Summary Report
  • Demonstrating the FLOW Option of PROC REPORT.
  • Using Two Grouping Variables
  • Changing the Order of Variables in theCOLUMN Statement.
  • Changing the Order of Rows in a Report
  • Applying the ORDER Usage to Two Variables
  • Producing ReportBreaks
  • Using a Nonprinting Variableto Order a Report
  • Computing a New Variablewith PROC REPORT
  • Computing a Character Variable in a COMPUTE Block.
  • Creating an ACROSS Variablewith PROC REPORT.
  • Modifying the Column Label for an ACROSS Variable.
  • Using an ACROSS Usage to DisplayStatistics
  • Problems

  • Introduction
  • PROC MEANS—Starting from the Beginning
  • Adding a BY Statement to PROC MEANS
  • Using a CLASS Statement with PROC MEANS
  • Applying a Format to a CLASS Variable
  • Deciding between a BY Statement and a CLASS Statement.
  • Creating Summary Data Sets Using PROC MEANS
  • Outputting Other Descriptive Statistics with PROC MEANS.
  • Asking SAS to Name the Variables in the Output Data Set.
  • Outputting a Summary Data Set: Including a BY Statement.
  • Outputting a Summary Data Set: Including a CLASS Statement.
  • Using Two CLASS Variables with PROC MEANS
  • Selecting Different Statistics for Each Variable
  • Problems

  • Introduction
  • Counting Frequencies
  • Selecting Variablesfor PROC FREQ
  • Using Formatsto Label the Output
  • Using Formatsto Group Values
  • Problems GroupingValues with PROC FREQ
  • Displaying MissingValues in the Frequency Table
  • Changing the Order of Values in PROC FREQ
  • Producing Two-WayTables

  • Adding Labelsto Your Variables
  • Using Formatsto Enhance Your Output
  • Regrouping Values Using Formats
  • More on Format Ranges
  • Permanent Data Set Attributes
  • Accessing a Permanent SAS Data Set with User-Defined Formats.
  • Displaying Your Format Definitions
  • Problems

  • Introduction
  • A Simple PROC TABULATE Table
  • Describing the Three PROC TABULATE Operators
  • Using the Keyword ALL
  • Producing Descriptive Statistics
  • Combining CLASS and Analysis Variables in a Table
  • Customizing Your Table
  • Demonstrating a More Complex Table
  • Computing Row and Column Percentages
  • Displaying Percentages in a Two-Dimensional Table
  • Computing ColumnPercentages
  • Computing Percentages on Numeric Variables
  • Understanding How Missing Values Affect
  • Problems

  • Introduction
  • Sending SAS Output to an HTML File
  • Creating a Table of Contents
  • Selecting a Different HTML Style
  • Choosing Other ODS Destinations
  • Sending Output to a SAS Data Set
  • Problems

  • Introduction
  • Some Basic Concepts
  • Producing Simple Bar Charts Using PROC GCHART
  • Creating Pie Charts
  • Creating Bar Charts for a Continuous Variable
  • Creating Charts with Values Representing Categories
  • Creating Bar Charts Representing Sums
  • Creating Bar Charts Representing Means
  • Adding Another Variable to the Chart
  • Connecting Points
  • Connecting Points with a Smooth Line
  • Problems

  • Introduction
  • Handling MissingValues at the End of a Line
  • Reading Short Data Lines
  • Reading ExternalFiles with Lines LongerThan Characters
  • Detecting the End of the File
  • Reading a Portionof a Raw Data File
  • Reading Data from MultipleFiles
  • Reading Data from MultipleFiles Using a FILENAME Statement
  • Reading External Filenames from a Data File
  • Reading MultipleLines of Data to Form One Observation
  • Reading Data Conditionally (the Single Trailing@ Sign)
  • More Examplesof the Single Trailing @ Sign
  • Creating MultipleObservations from One Line of Input
  • Using Variableand Informat Lists
  • Using Relative Column Pointers to Read a Complex Data Structure Efficiently
  • Problems
  • PROC options

  • Introduction
  • Using Formats to Recode Variables
  • Using Formats with a PUT Function to Create New Variables
  • Creating User-Defined in formats
  • Reading Character and Numeric Data in One Step
  • Using Formats (and in formats) to Perform Table Lookup
  • Using a SAS Data Set to Create a Format
  • Updating and Maintaining Your Formats
  • Using Formats within Formats
  • Using Multi label Formats
  • Problems

  • Introduction
  • Converting a Data Set with One Observation per Subject to a Data Set with Several Observations per Subject: Using a DATA Step
  • Converting a Data Set with Several Observations per Subject to a Data Set with One Observation per Subject: Using a DATA Step
  • Converting a Data Set with One Observation per Subject to a Data Set with Several Observations per Subject: Using PROC TRANSPOSE
  • Converting a Data Set with Several Observations per Subject to a Data Set with One Observation per Subject: Using PROC TRANSPOSE
  • Problems

  • Introduction
  • Macro Variables: What Are They?
  • Some Built-In Macro Variables
  • Assigning Values to Macro Variables with a %LET Statement
  • Demonstrating a Simple Macro
  • Another Example of Using a Macro Variable as a Prefix
  • Using a Macro Variable to Transfer a Value between DATA Steps
  • Problems

  • Introduction
  • Some Basics
  • Joining Two Tables (Merge)
  • Left, Right, and Full Joins
  • Concatenating Data Sets
  • Using SummaryFunctions
  • Demonstrating an ORDER Clause
  • An Exampleof Fuzzy Matching
  • Problems

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  • Our trainers provide you with the equal balance of theoretical and practical SAS software training.
  • Our trainers are hand-picked experts from the business intelligence and analytics area, with 5+ years of professional experience using the SAS tool.
  • Our trainers help learning participants improve their skillsets by intensely instructing them on industry practices. They are Real-Time SAS specialists who have worked on several SAS-based projects.
  • Our trainers guide the students in developing their professional profiles and provide intensive instruction on interview preparation and handling strategies to increase their confidence.
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Key Features of SAS Training

Real-Time Experts

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At BTree, you will receive training from real-world professionals who are passionate about sharing their knowledge with students. Call us and Book your Seat Now!

Live Project

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We make sure that every student receives hands-on experience by working on live projects and real-world case studies, which increases their chances of getting hired.

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We provide mock interview questions PDFs and guaranteed placement assistance. We have worked with small and medium-sized organizations to help you start your career.



Get a global certificate that will help you become ready for a job in a high-demand industry and will boost the value of your resume.

Affordable Fees

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We offer courses at a very reasonable fee structure. The course fee at BTree is not only reasonable, but you can also pay in installments.



We provide flexible scheduling to ensure that our students are comfortable while taking the course. You can choose any time that works best for you.

SAS Certification Course in Chennai

  • This certificate verifies that the learner has attained the necessary professional skills for an SAS Developer by demonstrating real-world SAS-based project experience at the completion of the SAS certification.
  • SAS Course Certification is a valid source of proof proving that the participant has achieved a thorough understanding of the SAS Tools and their applications.
  • When you present your SAS Course completion certificate with your CV during the interview, it opens the career options and gives your profile more credibility.
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Your Career, Your Way Job Opportunities in SAS

You can Work as a

  • SAS Programmer
  • Programmer Analyst
  • Data Analyst
  • SAS Developer

Salary after SAS Certification

SAS Programmer

Avg Salary- 4,09,500 

Programmer Analyst

Avg Salary- 8,50,000 

SAS Developer

Avg Salary- 12,05,000

SAS Training Options

Our ultimate aim is to bring the best in establishing the career growth of the students in each batch individually. To enhance and achieve this, we have highly experienced and certified trainers to extract the best knowledge on SAS Certification. Eventually, we offer three modes of training options for the students to impart their best innovations using the SAS course skills. For more references and to choose a training mode, Contact our admission call at 044 – 4560 5237

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  • Real-Time Trainer Assistance
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  • Non-Crowded Training Batches
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SAS Interactive online Training

SAS Interactive Online Training

  • 40 Hours of Real-Time Training
  • Dedicated Learning Platform
  • Chat and Discussion Panel for Assistance
  • Create and Complete Assignments
  • Work on Live Projects Online
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Knowledge Hub with Additional Information of SAS

  • Here are some of the benefits of SAS Programming Language:
  • Easy to learn
  • SAS syntax is really simple to learn. Anyone without programming knowledge can pick it up quickly. Simple statements are used to code. It resembles telling a machine what to do.
  • Ability to manage a vast database
  • SAS has a good capacity to readily manage huge databases.
  • Simple to debug
  • SAS is a very simple language. The debugging procedure is simple. The error, which is clearly stated in the log box, may be understood and fixed.
  • Tested algorithms
  • The method used in the SAS software has undergone extensive testing and analysis by programmers. Before being made available, each version of SAS is tested in a controlled setting. Because SAS is a closed source language, this is conceivable.
  • SAS Customer support
  • An organization’s SAS carries out appropriate monitoring. It resembles an entire corporation. Its customer service is really impulsive. SAS can only be changed by the SAS organization because it is a closed source tool. Adulteration from the outside is not conceivable. All issues are handled by SAS customer service.
  • Data Security
  • Adding to the aforementioned aspect, SAS offers total data security. Without a license, we are unable to extract for office usage. Data security keeps data from being altered. And this explains why it’s so well-liked in business.
  • SAS is a crucial tool for many large businesses. The information about the firm is private because it is a close source. R is only used by freelancers. Since it is open source, data security cannot be guaranteed. Professionally, SAS is recommended over all other analytical languages.
  • SAS is one such language that has simplified statistical computation for non-programming users. The graphical user interface is superb (GUI). The SAS user interface provides a wide range of tools, including graphs, charts, and a very flexible library.
  • Nice Output
  • SAS has changed over a considerable amount of time. Its result is nicely structured and simple to understand.
  • Huge Job Prospects
  • The fact why SAS has been utilized in the sector for a long time is due to the numerous work opportunities. SAS training is required of professionals before they can work in the analytics sector. SAS command-line experience makes learning R and Python simple. In the analytics sector, it is the market leader.

  • The learning curve
  • Python, however, is simple to learn because to its clear function. Python, however, comes with an IPython notebook. Students can access code rather than an interactive GUI like SAS as a result.
  • SAS
  • Those who are relatively familiar with SQL may be able to understand the fundamentals of SAS language due to a rising Emphasis. Before writing code, adults should become comfortable with the SAS GUI interface. You don’t need any prior experience to learn SAS.
  • Cost of efficiency
  • Python is developing into an open-source system that may be downloaded without charge. They will not yet provide users with any technical support or assurance of documentation. The openness of the system has earned it the support of small and medium-sized firms.
  • Data science capabilities
  • Python
  • In the area of data science, it is a language that excels in analyzing complex data. For visual representation, Scikit Learn, Pandas, NumPy, and Matplotlib are used. This makes it a practical choice for beginners interested in a career in data science.
  • SAS
  • skills in data science. such is concurrent data access and analysis using a combined SQL database system Therefore, SAS frequently includes them.
  • Supported libraries and tools include
  • Python provides libraries for web design, software development, and frameworks for machine learning and artificial intelligence. Therefore, it is a great option for processing huge amounts of data.
  • Numerous BI, data storage, graphical, and computational features are already included in SAS. This gives it a better platform for manipulating data. Therefore, especially on solitary devices or data centres. Despite the fact that SAS can forecast results. However, it is inferior to Python data visualization. because it cannot produce original statistics.
  • Application enhancements
  • Python
  • In contrast to SAS, its open nature enables the quick introduction of new functionality. Despite the possibility of sustained growth. They haven’t been adequately assessed as a result because of their ability to contribute.
  • SAS
  • Releases or rollouts of software, SAS is presenting a new edition. It has a license, thus all features and improvements have been properly tested. It is less likely to include a mistake than Python.
  • Preferred industries
  • Python
  • Startups and small to medium-sized technological companies embrace it. because it’s free. Therefore, it offers a wide range of solutions for managing enormous, unorganized data sets. Even so, it has AI and ML capabilities.
  • SAS
  • Large businesses that care about high stability and customer service frequently employ SAS. rather than the price of the application.

  • Feature comparison for Tableau vs SAS
  • Dashboard
  • Users of Tableau are able to design and format dashboards to their own specifications. They can have several views, different items, and the ability for users to utilize filters. Without scripting, users can quickly publish dashboards and share them with others.
    SAS Business Intelligence additionally receive simply connectable dashboards that may be customized, SAS-generated reports, and data from outside sources. SAS’s user-friendly interface makes it easy to construct aesthetically stunning dashboards using a point-and-click technique. Additionally, customers may design desktop alerts to enable them to closely monitor what’s going on with their organization.
  • Collaboration
  • Through its public dashboard, Collaboration Tableau enables an organization’s members to remain in touch and informed. Users of the same firm may quickly add data into this dashboard to share the information with them.
  • Sharing crucial information amongst SAS users is facilitated by MS Office’s direct connection with SAS.
  • Mobile accessibility for Tableau vs SAS
  • Tableau customers may view company reports and analytics directly from their mobile devices since this BI software is mobile-friendly.
  • Users of SAS’ SAS Mobile BI application may access the reports while on the move using iOS and Android smartphones.
  • Interactive visualization
  • The superior data visualization capabilities of Tableau set it apart from other BI software solutions. Even users without programming experience may quickly generate dynamic data visualization thanks to the straightforward method offered by Tableau.
    To assist a business quickly identify and comprehend data linkages and trends, SAS enables users to generate interactive data visualizations. SAS enables the creation of interactive charts and graphs that may be shared with other programs.
  • Analytics
  • Users that use Tableau can better comprehend patterns and projections because to its robust analytical capabilities. Tableau’s data connectivity with sources like Google Analytics and Salesforce enhances the BI software’s analytical capabilities.
  • To assist customers, comprehend even the most complicated information, SAS delivers real-time, visual analytics. The thorough analysis from SAS allows for the forecasting of trends and outcomes.
  • Comparison of Tableau and SAS’s data connections and integrations
  • Numerous platforms and commercial software applications, including Dropbox, Amazon Athena, Salesforce, and R, may be linked with Tableau.
  • A complete set of BI features are already included into the SAS Business Intelligence software. It may still be used with a variety of software programs, including Microsoft Office and R-based platforms.

  • Let’s talk about some of the main distinctions between SAS and SSD
  • • Applications that need great performance from a constrained capacity may benefit from SSD. Since they are not mechanical, they are soundless.
  • • The unique property of SSD is its capacity to retain data; for instance, even if SSD is removed from the server, a piece of stored information will remain accessible for years. SSD is likely to keep our data secure because it has no moving parts.
  • • The key benefit is that it uses less power and is resistant to data fragmentation.
  • • SSD stores a temporary copy of active data using an SSD cache technique.
  • • SSD has a substantially greater random IOPS rate and zero latency.
  • • SSDs have drawbacks, including higher battery consumption and worse sequential performance compared to random workloads. They can only fit a certain number of SAS drives into storage arrays with many ports, which commercial enterprises employ to store their data. Sequential data speeds are possible with SAS drives.
  • • By lowering the number of physical links, SAS lowers the rate of storage system failure.
  • • Greater Mean Time Between Failures is a feature of SAS drives (MTBF). For the integrity of the data, they have sophisticated mistake correction.
  • • Each device may use all of the available bandwidth thanks to SAS. SATA (serial ATA) devices are supported by the SAS interface at 150MBps.
  • • SAS is an excellent option for non-critical systems. The SAS protocol guarantees a huge volume of user data and excellent dependability. It is also stable and speedier.
  • • A drawback of SAS is that it costs more and has less storage capacity.

  • • Giving business units or other divisions technical help for problems relating to how they employ technological solutions.
  • • Depending on client needs, creating new apps or improving current applications.
  • • constructing databases to store data and enable data retrieval as required by an organization.
  • • examining the plans made by other developers to make sure they adhere to best practices and industry standards.
  • • Keeping detailed records of every step of a project, including identifying any issues that need to be fixed.
  • • employing one or more programming languages, such as C++, Java, Perl, Python, or SQL, to create and debug computer applications.
  • • investigating the most recent advances in computer science and technology to find new applications for customers’ sectors or business needs.
  • • Data analysis for patterns or trends in order to identify factors that impact outcomes.
  • • Software programs are tested to ensure they work as intended.

  • • Data analysis to find patterns, trends, or other important information.
  • • Data analysis to discover areas for improvement in customer happiness, staff satisfaction, and employee turnover rates.
  • • Working with management to identify project needs and objectives, then developing a strategy to achieve those goals.
  • • Notifying stakeholders of results and advising suitable next steps.
  • • Identifying possible organizational hazards so that they may be handled before they become issues.
  • • Communicating with clients or consumers to determine their needs and to create project specifications.
  • • Using statistical tools such as SPSS, SAS, Excel, or Stata to test hypotheses and analyze data.
  • • Researching issues related to the client’s industry or business area.
  • • Analyzing data to identify key insights and implications for action in the future.

  • • The general availability of the SAS tools and software environments is your responsibility.
  • • Several SAS clusters are supported for development, quality assurance, production, and disaster recovery.
  • • On Linux / Redhat (RHEL) platforms, performs SAS software administration, including software configuration, updates, patches, and hotfixes, as well as license renewals as necessary.
  • • Offers advice for performance tweaking, measurement, and capacity planning for the SAS Platform.
  • • Takes the essential steps to achieve and maintain the best possible SAS platform availability, reliability, and performance.
  • • Determines manufacturing system bottlenecks and offers solutions.
  • • LDAP/Active Directory, SAS Metadata, Linux operating systems, and data warehousing environments are used to design, implement, and maintain platform security.
  • • Manage user, group, and role identities for metadata.
  • • Creates metadata items and folder structures using the SAS Management Console to describe links to data sources, define libraries, and define folder structures.
  • • Configuration and testing of SAS and various relational databases’ connectivity.
  • • Collaborates with other IT administrators including storage, server, LDAP, database administrators to provide continuing SAS environment operations for fulfilling business demands.
  • • To satisfy compliance standards, policies, processes, and documentation are created and updated.
  • • Offers manufacturing support on demand on a rotational timetable.

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Success Stories Meet Our Placed Candidates


Even though I come from a non-IT background but I easily understand every concept, and delivery is much better than I expected. I am glad to choose btree systems for the SAS course. A wonderful learning experience and I like the way the class is organized and the good staff. Thanks to the whole team for helping me to clear my certification and also get placed as a SAS developer.

SAS Developer


I am from manual testing background having 3+ years of experience, I planned to move into SAS. I came to know about btree systems on Instagram, and last year I join a SAS course. I have real-time experience which helps us to learn a lot apart from the syllabus to enhance our careers. And I completed my certification successfully. Thanks to btree.

Software Engineer


I was working with a leading MNC company but I left my job because I couldn’t upgrade myself. Then I join to btree systems for the SAS course which gave me hope that get a better job. And here I stand today as a Data scientist with a SAS background in a reputed MNC company. They helped me up-skill myself and rejoin an organization with a higher portfolio with certification. Overall it was a great experience.

Data Scientist(SAS)
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FAQs for SAS Course in Chennai

  • No worries. If a student miss even one SAS class during the course, we guarantee that the content will be made up as quickly as feasible. Each student will be given a Flexi pass, which they may use whenever it’s convenient for them and has a 90-day expiration date.

  • Contacting Our Support Number +91-7397396665 will allow you to sign up for the SAS Training in Chennai at BTree Systems. You may also enrol by visiting our office.

  • Yes, at BTree Systems SAS Course in Chennai, you may choose your own schedule.

  • BTree Systems provides a range of efficient training techniques, such as:
  • Classroom instruction
  • One-on-one instruction
  • Fast-track instruction
  • Online instruction with a live teacher
  • Customized instruction

  • Call us at +91-7397396665, and we’ll respond as quickly as we can.

  • No, the BTree Systems placement team offers technical training, industry projects, case studies, resume preparation, and mock interviews to help increase the likelihood of being hired.

  • Yes, we provide a career advising camp for both fresher and working professionals (IT or non-IT).

  • Yes, students get lifetime access to the student site’s study materials, videos, and top MNC interview questions.
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Real People, Real Feedback Hear from Our Students

BTree Systems is one the best training institutes to upgrade their skills and career change into a technical industry. The staff is really helpful and supportive. For all of your inquiries, you will quickly receive an answer. Depending on the preferences of the person, both offline sessions and recorded classroom sessions are offered.
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Joined the BTree Systems SAS course. The teaching approach is excellent and includes help with job placement. I learned more about SAS. Trainers therefore treat each and every student uniquely with flexible batch timing. Very great experience.
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A good place to learn & upgrade our skills, knowledge to survive in the technology industry. I have done Big data Hadoop with Apache Spark. My Trainer is Yogi & Surendar they are good trainers never hesitated while asking the doubts clarifying on the spot due to because they are real time workers.
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Best training providing for big data Hadoop clear most difficult concept was easy to learn thank you by yogeswaran sir.
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