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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Overview
Curriculam
Mentors
Key Features
Certifications
Placement
FAQ
Reviews

Tools and languages covered

Base SAS
Raw Data
PROC REPORT
Numeric Functions
Data Sets
Array

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
Using PROC REPORT
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
PROC TABULATE Output.
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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Mentors Profile of SAS Training

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

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

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.

Placement Support

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.

Certifications

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

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.

Flexibility

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.

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

SAS Live Classroom Training

40 Hours of Offline Training
Real-Time Trainer Assistance
Ample Tech Equipped Classrooms
Non-Crowded Training Batches
Work on Live projects offline
Flexible Timings for sessions

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
Flexible Timings for sessions

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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 GUI
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

IBM

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

Sainthavi

TCS

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

Ravi

Wipro

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)

Swathi

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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

Deepak Murali

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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SWETHA GANESH

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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Saravanan s

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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