SAS Course in Chennai

The SAS Course in Chennai is an in-depth syllabus designed to offer prospective data professionals a thorough understanding of statistical analysis and SAS software data management. This course is perfect for both novice and seasoned analysts because it covers key modules like Base SAS, Advanced SAS, SQL, and macros. Students receive hands-on experience through real-time projects with an emphasis on practical instruction, making them industry-ready. A beneficial SAS Internship opportunity is additionally included in the program, enabling learners to use their abilities in practical settings. Candidates gain an industry-recognized SAS Certification upon successful completion, which improves their credibility and employment opportunities. SAS Placement aid and committed career support are offered to help students land positions in prestigious companies.

Additional Info

Exploring Future Trends in SAS Training

• Cloud Integration:SAS is changing quickly to adapt to cloud-native solutions, increasing the scalability and accessibility of analytics. SAS is being used by organisations more and more on AWS, Azure, and Google Cloud platforms. This change enables more flexibility and lower infrastructure expenses. Large datasets may be processed more quickly thanks to cloud integration. Additionally, it facilitates data exchange and remote collaboration. Smooth cloud compatibility will probably be a top priority for future SAS solutions.
• AI & ML Expansion: SAS's machine learning and artificial intelligence capabilities are still growing. Model construction is becoming more efficient with the incorporation of automated machine learning (AutoML) techniques. For instance, SAS Viya offers robust AI-based analytics. Users can extract more profound insights from complicated data with the aid of these features. SAS will provide more predictive and adaptive tools as AI develops. The pattern suggests that analytics will become more intelligent and automated in the future.
• Real-time Analytics:In sectors including retail, healthcare, and finance, real-time data analysis is becoming essential. In order to facilitate real-time analytics and speed up decision-making, SAS is improving its tools. The SAS environment now makes streaming data processing easier to access. This trend guarantees quick insights and quicker anomaly detection. Timely reactions to operational changes are advantageous to businesses. SAS is expected to further improve analytics workflows' speed and effectiveness.
• Low-Code/No-Code Tools:The low-code/no-code movement is being adopted by SAS in an effort to draw in non-technical users. Business analysts can create models and reports using these tools without having extensive coding experience. One excellent example is the SAS Visual Analytics software. Its user-friendly dashboards and drag-and-drop features empower users. The democratisation of data analytics increases team productivity. These tools will probably be improved by SAS in the future for even wider use.
• Data Governance Focus:SAS is placing a high priority on robust data governance elements as data regulations become more stringent. Tools that guarantee compliance, lineage, and data quality are increasingly becoming essential. For transparency and control, SAS provides integrated governance across its platforms. This aids businesses in complying with regulations such as GDPR and HIPAA. Additionally, proper governance improves security and reduces data misuse. As data becomes more controlled globally, the attention will increase.
• Enhanced Data Visualization:SAS is making investments in robust, interactive data visualisation technologies. The graphics on upcoming SAS platforms will be more dynamic and intuitive. This facilitates improved narrative and comprehension of intricate datasets. Dashboard customisation is already supported by SAS Visual Analytics. There will be significant advancements in visualisation tools as user experience becomes more important. For better decision-making, more AI-driven insights will be included into visual components.
• Integration with Open-Source:SAS and open-source programs like R and Python are becoming more compatible. Data scientists may now combine the open-source flexibility of SAS with its stability thanks to this trend. SAS Viya facilitates smooth workflow integration through embedded code execution. In a hybrid environment, users can benefit from the greatest features of both worlds. This partnership greatly increases analytical capacity. Open-source and SAS will work together more closely in the future.
• Edge Analytics:As IoT use increases, edge analytics—or data processing at the source—is expanding. SAS is creating technologies that enable analytics on edge devices directly. This improves real-time decision-making and lowers latency. It is especially helpful in the energy, transportation, and manufacturing industries. Operations near data sources will be optimised by SAS's edge-ready solutions. As smart gadgets become more common, expect this trend to mature.
• Industry-Specific Solutions:SAS focusses on creating specialised solutions for a range of sectors. These consist of specific modules for retail, healthcare, finance, and other fields. Domain-specific issues can be resolved more quickly with the use of customised SAS applications. By tackling particular company issues, this strategy increases return on investment. Additionally, it accelerates uptake and reduces implementation time. This vertical specialisation will probably become more profound in the future.
• Augmented Analytics:AI is used in augmented analytics to improve data preparation, interpretation, and discovery. SAS is incorporating automation and natural language processing into its tools. This gives people the ability to ask enquiries in simple terms and receive immediate answers. It makes analytics easier for professionals that aren't technical. For more intelligent self-service technologies, augmented capabilities will keep developing. The way SAS users engage with data will be redefined by this trend.

Exploring Advanced Tools and Techniques in the SAS Course

• Base SAS Programming:Base SAS is essential for learners and represents the cornerstone of all SAS activities. Basic data manipulation, input/output procedures, and data step processing are covered. Students read and alter data using the DATA and PROC stages. Additionally, it explains how to work with built-in functions, variables, and datasets. To learn all other advanced topics, it is essential to comprehend Base SAS. It serves as the foundation for developing well-structured and effective programs. This method develops your fundamental SAS programming principles.
• SAS Macros:SAS macros let users build reusable, dynamic code. In complex programs, they aid in lowering code redundancy and increasing efficiency. Repeated tasks can be automated with macro variables and macro functions. This method is frequently applied in extensive data projects. Additionally, macros allow greater flexibility through parameter-driven programming. A key component of this module is learning macro debugging. It's an essential tool for time optimisation and better code management.
• PROC SQL:In SAS, PROC SQL enables users to create SQL queries for data manipulation. It's an effective method for quickly joining, subdividing, and filtering datasets. PROC SQL offers a structured query language interface, in contrast to the DATA phase. For people switching from traditional SQL setups, it's really helpful. It can be effectively used to group, summarise, and aggregate data. Gaining knowledge of PROC SQL improves SAS performance and coding speed. Working with relational databases requires it.
• SAS Functions:SAS offers numerous built-in functions for data manipulation. These consist of statistics, date/time, character, and mathematical functions. Commonly used functions include SUBSTR, INTNX, and MEAN. They enable analysts to extract valuable information from unprocessed data. Gaining proficiency with these features increases the strength and adaptability of your programs. They are also helpful in data transformation and conditional logic. The foundation of effective SAS coding is functions.
• Data Cleaning & Transformation:Preprocessing data is an essential component . learn how to handle missing values, eliminate duplicates, and normalise data. Students make use of conditional statements, PROC FORMAT, and PROC SORT. This stage guarantees the quality of the data and gets it ready for precise analysis. It is necessary to create trustworthy models and produce insightful data. These abilities are especially helpful in practical business analytics. Appropriate cleaning methods are the first step in good data hygiene.
• SAS Visual Analytics:SAS Visual Analytics makes it possible to create dynamic reports and dashboards. Drag-and-drop feature makes it perfect for non-programmers. Users can see patterns, trends, and outliers in data with the aid of this tool. Graphs, charts, maps, and other unique visualisations are simple to design. It is crucial to both corporate intelligence and narrative. A user-friendly interface allows decision-makers to interact with real-time data. Reporting and data-driven decision-making require this ability.
• Statistical Analysis:Strong statistical methods such as regression, ANOVA, and hypothesis testing are provided by SAS. These tools aid in the analysis of data trends and linkages. Commonly employed methods include PROC TTEST, PROC ANOVA, and PROC REG. They are essential in fields including banking, healthcare, and marketing. Students acquire the capacity to do comprehensive quantitative analysis. The foundation for predictive modelling is laid by this module. It improves your capacity to transform unprocessed data into insights.
• Predictive Modeling:In SAS, predictive modelling forecasts future results by utilising historical data. Tools such as decision trees, logistic regression, and PROC GLM are presented. These models support risk analysis, fraud detection, and client segmentation. Model validation, scoring, and performance tracking are made possible using SAS. Your comprehension of real-time application is enhanced by the practical approach. It blends business savvy, data science, and statistics. Gaining expertise in this field advances one's career in analytics positions.
• SAS Enterprise Guide:The SAS Enterprise Guide offers a point-and-click interface for those who would prefer not to code. It allows users to perform data analysis, reporting, and automation. Complicated operations are made simpler by the tool's supported processes. Analysts, business users, and SAS beginners will find it ideal. Among the easier jobs are data import, transformation, and visualisation. It integrates with Base SAS to boost power and flexibility. Gaining proficiency with this tool extends utility beyond standard coding.
• Report Generation & Automation:SAS makes usage of the ODS (Output Delivery System) to facilitate automated report generation. Results can be exported by users in HTML, Excel, or PDF formats. For large-scale reporting and repetitive operations, this method is crucial. It guarantees uniform report formatting and saves time. SAS technologies can be used to schedule and distribute reports. Human error in repetitive analytical procedures is also decreased by automation. For efficiency in business reporting environments, it is an essential skill.

Key Roles and Responsibilities in SAS Training

• SAS Data Analyst:Using SAS tools to analyse big datasets is the responsibility of an SAS data analyst. They help business choices by extracting, cleaning, and interpreting data. They use statistical techniques and visualisations to generate insights. PROC functions, stages, and macros are widely used by analysts. For stakeholders, they create dashboards and reports. Their responsibilities also include trend analysis and data quality checks. It's critical to communicate data insights to non-technical teams.
• SAS Programmer:SAS code for data modification and reporting is created and maintained by programmers. They create and verify programs that provide listings, tables, and databases. These experts collaborate closely with statisticians and analysts. Their emphasis is on leveraging Base SAS and macros to write clear, precise, and effective code. They frequently use scripts to manage repetitive chores and automate procedures. Additionally, programmers follow project procedures and guarantee data security. In sectors including science, banking, and healthcare, they are indispensable.
• Clinical SAS Programmer:SAS in clinical settings Supporting clinical trials and regulatory submissions is the area of expertise for programmers. Datasets in CDISC standards such as ADaM and SDTM are produced by them. Validating clinical reports, listings, and graphs is one of the responsibilities. These programmers make sure that FDA and pharmaceutical rules are followed. In this position, timeliness and accuracy are essential. They work along with biostatisticians and clinical research teams. Other important responsibilities include maintaining the audit trail and documentation.
• SAS Business Analyst:SAS business analysts tackle company issues by applying insights gleaned from data. To find trends and possibilities, they gather and examine data using SAS tools. Technical discoveries are transformed into workable plans by analysts. Additionally, they provide dashboards and reports for important decision-makers. Business analysts frequently serve as liaisons between business and technology teams. They suggest cost-cutting measures and process enhancements. The position combines commercial savvy with analytics.
• SAS Developer:SAS developers develop, design, and organise SAS applications for business settings. They develop data solutions, ETL pipelines, and automated processes. The SAS Base and Advanced SAS modules are used by these developers to construct scripts. They work along with business units and database administrators. The work also includes integrating tools and creating custom reports. Debugging and performance tuning are significant tasks. Their efforts guarantee efficient systems for data processing and distribution.
• SAS Consultant:SAS consultants offers experienced guidance on SAS solutions for a range of business requirements. They evaluate the needs of the client and suggest suitable SAS tools. SAS solutions for analytics and reporting are implemented and customised by consultants. They guarantee effective knowledge transfer and train internal teams. Among their duties include optimisation and troubleshooting. They might work in industries like healthcare, banking, or retail. This position is defined by adaptability and client-focused problem-solving.
• SAS Architect:SAS architects design an organization's whole SAS infrastructure. They prioritise performance optimisation, integration, and system scalability. Security procedures, licensing, and SAS environment setup are among the duties. For effective processing, architects design the system architecture and data flow. They guarantee seamless database and platform integration. Junior staff mentoring and documentation are frequently necessary. Long-term analytics success is supported by this strategic function.
• SAS Statistician:SAS Statisticians use SAS to evaluate complex data by employing statistical models. They create regression models, hypothesis tests, and other statistical instruments. These experts aid in the formulation of research and policy decisions. They carry out exploratory analysis, verify the veracity of the data, and interpret the findings. Their efforts influence marketing plans, medical procedures, and business results. Additionally, statisticians guarantee statistical accuracy and peer-review results. Here, a thorough understanding of SAS statistical methods is essential.
• SAS Reporting Analyst:Reporting analysts are skilled at using SAS to create complete reports. They compile information from multiple sources and organise it into insightful summaries. These reports assist companies in tracking KPIs and keeping an eye on performance. ODS and SAS Visual Analytics are used by analysts to generate reports automatically. Among the duties are trend analysis, formatting, and data validation. To provide timely, useful reports, they collaborate closely with management. For this position, accuracy, quickness, and clarity are essential.
• SAS ETL Developer:SAS ETL developers are in charge of the loading, transformation, and extraction of data. They deal with data from various sources, both organised and unstructured. Workflow design, raw data purification, and data warehouse storage are some of their responsibilities. Among other technologies, they make use of SAS Data Integration Studio. These programmers guarantee the effectiveness and precision of data pipelines. They assist with corporate intelligence requirements and downstream analytics. Error correction and performance optimisation are important duties.

Top Companies Actively Hiring for SAS Professionals

• Tata Consultancy Services (TCS):TCS is a major provider of IT services and consulting in India. SAS specialists are hired for clinical research, corporate reporting, and data analysis. TCS provides analytics solutions to clients in the banking, insurance, and pharmaceutical industries worldwide. SAS positions include ETL specialists, statisticians, and developers. TCS places a strong emphasis on both technical SAS abilities and domain understanding. The organisation provides organised learning and career development activities. Professionals looking for varied tasks and long-term stability will find it ideal.
• Accenture:Accenture is a multinational provider of technology services and consultancy. It provides data-driven transformation and analytics solutions for a variety of sectors. Here, SAS specialists focus on automation, predictive analytics, and business intelligence. The business utilises SAS tools to help industries like retail, healthcare, and finance. SAS certifications are valued, particularly for positions involving direct client interaction. Accenture offers exposure to international projects in a fast-paced setting. Its culture is centred on innovation and ongoing learning.
• Cognizant Technology Solution:SAS experts are frequently recruited by Cognisant for its data and analytics section. The business helps customers in the life sciences, BFSI, and healthcare industries. Clinical trial assistance, reporting, and SAS programming are common roles. Practical experience with Base SAS, Macros, and Clinical SAS is valued by Cognisant. Additionally, it encourages upskilling through internal training initiatives. Here, SAS specialists support both regulatory compliance and digital transformation. Analyst, consultant, and lead positions are among the career options.
• Genpact:Genpact specialises in process automation and digital transformation. SAS specialists in fields like risk management and customer analytics are frequently hired by it. Proficiency in predictive modelling and data visualisation is highly valued by the organisation. Data analysts, consultants, and risk modellers are among the SAS positions. With the aid of resources like Visual Analytics and SAS Enterprise Guide, it fosters innovation. The work culture of Genpact is centred on learning and collaboration. Across industries, it is renowned for its data-driven methodology.
• IBM:IBM incorporates SAS products into its AI and enterprise analytics solutions. It uses SAS-based systems to provide solutions in manufacturing, healthcare, and finance. At IBM, SAS specialists engage on machine learning, data engineering, and cloud analytics. Along with open-source technologies like Python, IBM prioritises expertise of SAS. It offers chances for creativity in cognitive computing and advanced analytics. IBM offers internal programs to assist certification and ongoing education. It is a pioneer in enterprise solutions based on research.
• Infosys:SAS is employed by Infosys in its global data analytics and consulting services. It has solution architects, data scientists, and SAS developers working for it. The business manages extensive projects that include reporting and predictive analytics. SAS specialists are employed in sectors such as healthcare, communications, and retail. Via its Global Education Centre, Infosys provides robust educational initiatives. It emphasises problem-solving abilities and technical expertise in SAS tools. Here, there are advantages including a well-defined career path and exposure to other countries.
• Wipro:Wipro hiring SAS professionals in its life sciences, analytics, and healthcare divisions. It emphasises using SAS for risk analysis, fraud detection, and data management. Consultants, Clinical SAS Programmers, and SAS Analysts are among the roles. Wipro offers a helpful setting for certification and upskilling. Additionally, it combines SAS with R and Hadoop to create hybrid solutions. The work culture is defined by cross-functional teams and a global clientele. For SAS professionals looking for multi-domain expertise, Wipro is the best option.
• IQVIA:IQVIA is a world leader in clinical research and health information technologies. Biostatisticians and clinical SAS programmers are crucial to it. Here, SAS specialists help with data submission, trial design, and medication development. IQVIA appreciates accuracy, adherence to regulations, and knowledge of the healthcare industry. Report automation, statistical modelling, and data validation are all done with SAS tools. For people interested in pharmaceutical and life sciences analytics, it's a great option. It is appealing due to its innovative work and long-term project potential.
• Capgemini:SAS is employed by Capgemini to assist corporate intelligence and advanced analytics initiatives. It caters to industries like public services, retail, and BFSI. Here, SAS specialists focus on fraud detection, risk analytics, and consumer segmentation. Capgemini provides mentorship programs and promotes SAS certifications. Data storytelling, agility, and hybrid tech abilities (SAS + Python/SQL) are valued. Professionals gain exposure to cloud-based solutions and a worldwide network. The environment for analytics roles is one that is driven by innovation.
• Deloitte :SAS professionals are hired by Deloitte to provide risk advising and consulting services. The company uses analytics to help clients with audit, tax, and compliance. Financial analytics, predictive modelling, and regulatory reporting all make use of SAS tools. Certified SAS professionals with excellent communication abilities are sought after by Deloitte. It places a strong emphasis on analytical accuracy and strategic thinking. Workers collaborate with cross-functional teams on high-impact international initiatives. For people looking for a combination of business and technology roles, Deloitte is the best option.