SAS Training in Chennai

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
  • PROC REPORT toolPROC REPORT
  • Numeric Functions toolNumeric Functions
  • Data Sets toolData Sets
  • Array toolArray
  • Tabular Reports toolTabular Reports
  • Character Functions toolCharacter Functions

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.
  • In order to work with SAS efficiently, it is essential to understand its capabilities. Because of its functionality, we may find a variety of options. The following is a list of several SAS-capable tasks.
  • Generating graphical report
  • Because of statistical analysis tools, we can generate a graphical report from the raw data. For non-technical individuals as well, it is easy to use because to its characteristic.
  • Statistical Analysis
  • The statistics produced by data processing may be employed for statistical purposes; in fact, doing so is a technique to make use of the results of acquiring meaningful data.
  • Improvement of quality
  • The most effective technique to enhance quality is to compare previous results with the most recent results obtained following system improvements. In light of the comparison’s findings, the appropriate steps must be taken to improve the standard of any item or service.
  • Perform operation research
  • Research is all about weighing the information before coming to a conclusion. The data gathered with SAS software aids in decision-making to complete the study summary or output.
  • Developing application
  • The software’s editor, output, and log tabs are employed to give a programming platform, as we saw above. In order to create the report creation in the program in accordance with the requirements, developers might build bespoke codes.
  • Learning SAS has a lot of benefits because it is a fourth generation language. It’s fun to learn SAS. It offers a GUI and makes it simple to access many programmes. It is dependent on user-written “programmes” or scripts that are executed when instructions are needed.
  • 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.

Corporate Training Program

Enhance your employee’s skills with our learning programs and make your team productive.

The Learners Journey

We will guide you through the admissions process, counseling, live demo, assessment, certification, interview, and placement support. In addition, we will teach you how to handle SAS design interviews.

SAS Training in Chennai

The curriculum of SAS Certification

What Is SAS

  • 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

Writing Your First SAS Program

  • 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

Reading Raw Data from External Files

  • 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

Creating Permanent SAS Data Sets

  • 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

Subsetting and Combining SAS Data Sets

  • 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

Reading and Writing Data from an Excel Spreadsheet

  • 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

Performing Conditional Processing

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

Performing Iterative Processing Looping

  • 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

Working with Dates

  • 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

Working with Numeric Functions

  • 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

Working with Character Functions

  • 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

Working with Arrays

  • 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

Displaying Your Data

  • 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

Creating Customized Reports

  • 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

Summarizing Your Data

  • 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

Counting Frequencies

  • 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

Creating Formatsand Labels

  • 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

Creating Advanced Tabular Reports

  • 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

Introducing the Output Delivery System

  • 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

Generating High-Quality Graphics

  • 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

Using Advanced INPUT Techniques

  • 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

Using Advanced Features of User-Defined Formats and in formats

  • 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

Restructuring SAS Data Sets

  • 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

Introducing the SAS Macro Language

  • 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

Introducing the Structured Query Language

  • 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.

SAS Certified Experts

Key Features of SAS Training

Real-Time Experts as Trainers

You will get the convenience to Learn from the Experts from the current industry, to share their Knowledge with Learners. Grab your slot with us.

Live Project

We provide the Real-time Projects execution platform with the best-learning Experience for the students with Project and chance to get hire.

Placement Support

We have protected tie-up with more than 1200+ leading Small & Medium Companies to Support the students. once they complete the course.

Certifications

Globally recoganized certification on course completion, and get best exposure in handling live tools & management in your projects.

Affordable Fees

We serve the best for the students to implement their passion for learning with an affordable fee. You also have instalment to pay your fees.

Flexibility

We intend to provide a great learning atmosphere for the students with flexible modes like Classroom or Online Training with fastrack mode

Bonus Takeaways at BTree

Features of SAS Course
  • Students benefit from outstanding SAS real-world experience.
  • EMI options for both credit and debit cards.
  • Career camp for fresher and experience (IT or Non- IT).
  • We support you with a free live demo session.
  • We offer E-book for all courses.
  • 10+ Live project and supportive placement.
  • Both online and offline sessions are recorded using a secure method.
  • We assist the students with prepare mock interview and resume building.

SAS Certification

  • 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.

SAS Certification

Placement Process

SAS interview process

Course Registration

Our Team will help you with the registration process completely along with free demo sessions.

SAS job openings

Training Stage

Every course training is built in a way that learners become job ready for the skill learned.

SAS classes

Job Opportunities

Along with our expert trainers our placement team brings in many job opportunities with preparation.

SAS course fee

Placement Support

Get placed within 50 days of course completion with an exciting salary package at top MNCs globally.

Career Path after SAS Course

Annual Salary

₹3.0 L
Min
₹4.9 L
Average
₹8.9 L
Max

Hiring Companies

Tech Mahindra Career
Pay Pal Career

Annual Salary

₹3.8 L
Min
₹4.5 L
Average
₹6.3 L
Max

Hiring Companies

Zoho CareerWipro Career

Annual Salary

₹1.9 L
Min
₹4.4 L
Average
₹9.6 L
Max

Hiring Companies

IBM Career
Accenture Career

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 tools & course skills. For more references and to choose a training mode, Contact our admission cell at +91-7397396665

SAS Online Training

Online Training

  • 40+ hours of e-Learning
  • Work on live SAS tools
  • 3 mock tests (50 Questions Each)
  • Work on real-time industrial projects
  • Equipped online classes with flexible timings
  • 24×7 Trainers support & guidance

SAS Classroom Training

Self-Paced Training

  • 40+ hours of SAS classes
  • Access live tools and projects
  • 3 Mock exams with 50 Questions
  • Live project experience
  • Lifetime access to use labs
  • 24×7 Trainers & placement support

SAS Corporate Training

Corporate Training

  • 45 hours of immense corporate training
  • Support through our expert team
  • 3 Mock exams (60 questions each)
  • Work on real-time SAS projects
  • Life-time support from our corporate trainers
  • 24×7 learner aid and provision
SAS career oppurtunities

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Additional Information

Advantage 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.

SAS vs Python

  • 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.

SAS vs Tableau

  • 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.

SAS vs SSD

  • 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.

SAS developer roles and responsibilities

  • • 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.

SAS Data Analysis roles and responsibilities

  • • 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.

SAS Administer roles and responsibilities

  • • 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.

SAS Programmer Salary Package

  • SAS Programmer Salary Package for Fresher
  • In India, the starting salary for an SAS programmer is around 3.0 Lakhs (or 25.0k) per year. A minimum of two years of experience are needed to become an SAS programmer.
  • AS Programmer Salary Package for Experience
  • With fewer than three years of experience, an Entry Level SAS Programmer can expect to make an annual income of 4.3 Lakhs on average. The average income for a mid-career SAS programmer with 4 to 9 years of experience is 7.1 lakhs, while the average salary for an experienced SAS programmer with 10 to 20 years of experience is 11.7 lakhs.

Advanced benefits at BTree

SAS Training and Placement Support
Interview Preparation

Our placement team supports in interview preparation process and will also help you with technical readiness with access to questions material.

SAS Career Sample Resume
Resume Buliding

BTree has created and re-write more than 300+ job-winning resumes and job cover letters for our learners at no additional cost driven by the course fees.

Recently Placed Candidates

Name: Sainthavi

Role: SAS Developer

Company: IBM

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.

Name: Ravi

Role: Software Engineer

Company: Tesco

Tessco

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.

Name: Swathi

Role:  Data Scientist(SAS)

Company: Wipro

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.

Our Top Hiring Partners

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Company 2

SAS Job Openings

Join our referral program

Earn up to 25% off on course fees or Join as a group and grab up to 40% discount on total fees Terms and Conditions applied*

FAQ on SAS Course

What if I miss the session?

  • 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.

How to enroll in this SAS certification at BTree Systems?

  • Contacting Our Support Number +91-7397391119 will allow you to sign up for the SAS Training in Chennai at BTree Systems. You may also enrol by visiting our office.

Currently, I am working, can I ask for flexible timing?

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

What are the various mode of training at BTree Systems offers?

  • 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

Where can I book a free demo?

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

Will BTree provide a job assistance guarantee get me a job?

  • 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.

Do you provide any career guidance?

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

Can I access the course material in online?

  • Yes, students get lifetime access to the student site’s study materials, videos, and top MNC interview questions.

Are there prerequisites required for this program?

  • There are no prerequisites for this course because it is developed from fundamental to advanced levels, however SQL expertise is a plus. With a basic understanding of computers, both newcomers and professionals can enrol in our course.

What are the available payment options?

  • You can pay in any of the ways indicated below, and both offline and online training will immediately send you an email receipt. All popular payment options are accepted by us. We recently included EMI substitutes for all of our courses.
  • EMI option with a debit or credit card.
  • MasterCard
  • Online Banking, Google Pay, PhonePe, PayPal, and Paytm.
SAS Interview Questions

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Testimonial Reviews

A
Ashwin
I did my SAS course at btree, it covered from basic to advanced SAS concepts. A clear guide on how to use and how to prepare graphs and report using the SAS tools was given by the trainer. I learn a lot, thanks to my trainer he put effort make us understand the SAS tools.
K
Kanaga
To be frank I am software engineer for profession, I have no idea about SAS. I just took up this course to up skill my knowledge and I found this very interesting one, so I join here. Very nice training with good assessment.
L
Lalitha
I had enrolled for SAS course in btree systems you can learn things with ease and timing are so flexible. And they also provide record sessions to study it offline. Thought I had to choose online session each and every concept deeper to explained finally I completed my certification successfully.
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