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SAS trainings

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SAS Training

  • Training type: E-learning (online)
  • Language: English
  • Online access: 24/7, 365 days after activation
  • Interactive multimedia lessons with video, audio and subtitles
  • Videos of up to 3-10 minutes, watchable at your own pace
  • Practical exercises with real-time analysis of actions and results
  • Flexible management with progress reporting
  • View lessons by specific topic
  • Your answers are immediately evaluated
  • The software tells you exactly where your possible mistakes lie
  • Possibility to repeat an assignment (unlimited)
  • View solution videos
  • SAS Certifications
  • Tips & Tricks
  • Exam Quiz
  • MeasureUp Exam Simulation (150+ questions)
  • LiveLabs (if available)
  • Award Winning E-learning
  • Full training for the official Exam
  • User-friendly environment
  • Includes Online Tutor (via email and chat)
  • Certificate of Participation included

What is SAS?

SAS, which stands for Statistical Analysis System, is a suite of software tools developed by SAS Institute Inc. for data management, advanced analytics, business intelligence and predictive analytics. The software covers a wide range of applications, from data entry and retrieval to advanced analytics and predictive modeling, and is designed for use in a variety of industries, including finance, healthcare and retail.

SAS software is used by businesses and organizations to analyze data and understand trends and patterns. It is especially useful for large-scale data analysis, where traditional data analysis tools may not be sufficient. SAS is known for its ability to handle large amounts of data and perform complex statistical analysis and modeling.

The SAS software suite includes a wide range of tools and applications, including SAS Enterprise Miner for predictive modeling, SAS Visual Analytics for data visualization and exploration, and SAS Data Management for data integration and data quality. These tools are often used in combination to create a complete analytics solution.

SAS is a powerful and widely used tool for data analysis and management, with applications across a wide range of industries and functions. Known for its flexibility and ability to handle large amounts of data, it is a valuable tool for businesses and organizations looking to gain insight into their data and improve decision-making.

Why SAS?

SAS, or Statistical Analysis System, offers a wide range of data processing, data management and data analysis capabilities, making it a popular tool for businesses, governments and academia. The platform's versatility allows users to analyze complex data sets, build models and visualize results, allowing companies to make data-driven decisions and gain insight into their operations.

One of the main reasons SAS is popular with organizations is its ability to handle large amounts of data. SAS allows users to work with structured and unstructured data from a variety of sources, including databases, spreadsheets and other software applications. The software also includes advanced analysis features such as predictive modeling, data mining and machine learning, which allow organizations to identify patterns and relationships in their data and make informed decisions.

SAS is also known for its security features, which are crucial for organizations handling sensitive data. The software provides robust access controls, data encryption and secure communications, so data remains secure and protected from unauthorized access.

Another advantage of SAS is its flexibility. The software can be customized to meet the unique needs of different industries and organizations, and its open architecture allows users to integrate it with other software applications and systems. In addition, SAS offers comprehensive support and training programs to help users maximize the platform's capabilities and achieve their goals.

How does SAS work?

SAS (Statistical Analysis System) reads data from a variety of sources, including databases, spreadsheets and text files, and processes and analyzes the data using a range of statistical and analytical techniques.

Users can work with SAS through a graphical interface, programming language or application program interfaces (APIs). SAS supports a wide range of data formats, including structured, unstructured and semi-structured data, and can process large data sets.

SAS works in four stages: data access, data preparation, data analysis and reporting. In the data access phase, data is collected from various sources and brought to SAS for analysis. Next, the data preparation phase involves cleaning, transforming and organizing the data to make it ready for analysis.

In the data analysis phase, SAS uses a range of statistical and analytical techniques to identify patterns, relationships and insights into the data. Finally, in the reporting phase, the results are presented in a variety of formats, including graphs, charts and tables, so users can easily interpret and share the findings.

SAS can be used in a wide range of industries, including finance, healthcare, retail and government. Its flexibility and wide range of applications make it a powerful tool for businesses and organizations looking to gain insight from their data.

10 Benefits of SAS

  1. Enhanced data management: SAS provides a comprehensive platform for data management, processing and storage, allowing organizations to handle large data sets with ease.
  2. Advanced analytics capabilities: SAS provides advanced analytics capabilities that enable organizations to gain insights into their data, including predictive modeling, data mining and machine learning.
  3. Enhanced decision-making: SAS provides organizations with real-time access to data and analytics to make faster and more informed decisions.
  4. Competitive advantage: SAS provides organizations with a competitive advantage by enabling them to make data-driven decisions and gain insight into customer behavior and market trends.
  5. Lower costs: SAS helps organizations reduce costs by automating processes and improving efficiency, resulting in increased productivity and profitability.
  6. Better risk management: SAS provides risk management capabilities that allow organizations to identify and mitigate potential risks, including fraud detection and credit risk analysis.
  7. Enhanced customer experience: SAS enables organizations to personalize customer interactions and improve the customer experience by providing insight into customer behavior and preferences.
  8. Regulatory compliance: SAS provides compliance management capabilities that help organizations comply with regulations such as GDPR, HIPAA and Sarbanes-Oxley.
  9. Improved operational efficiency: SAS helps organizations improve operational efficiency by automating processes and workflows, leading to increased productivity and reduced costs.
  10. Scalability and flexibility: SAS provides scalable and flexible solutions that can be customized to meet the specific needs of organizations, large or small.

Here's how SAS can help your business

SAS is a powerful software package that can offer a company significant benefits. One of the key benefits of SAS is its ability to process large amounts of data quickly and accurately. This can help a company make better-informed decisions based on reliable information.

SAS can also help companies streamline operations by automating repetitive tasks and reducing manual data entry errors. In addition, SAS can provide advanced analytics capabilities, such as predictive modeling and data visualization, that can help companies identify new opportunities and use their resources more effectively.

Another benefit of SAS is its integration with other software tools and systems. This can help companies improve collaboration and communication between different teams and departments and improve sharing and access to data.

SAS also offers a range of industry-specific solutions, including tools for healthcare, financial services and government agencies. These solutions are tailored to the specific needs and challenges of each industry and can help companies stay on the forefront of best practices and regulatory compliance.

In addition, SAS has a strong focus on security and data governance, which is increasingly important as companies face more complex and evolving threats from cyberattacks and other security risks. This ensures that companies can rely on the integrity and confidentiality of their data.

In short, SAS can help businesses by providing powerful data processing and analytics capabilities, streamlining operations, improving collaboration and communication, providing industry-specific solutions and ensuring strong data security and governance.

SAS training

Courses for SAS are suitable for any IT professional, whether private or business. According to your already acquired training and knowledge, you choose which SAS training course you start with, or continue with. Do you need advice? Then we are at your service via phone, chat and email.

For each online training course purchased, you have 1 year of access. 24 hours a day, 7 days a week for up to 365 days. So you decide when and how long you learn for the training. Is the daytime not convenient? The evening and night are available to you. Even if you go on vacation for a few weeks, this is no problem and you simply pick it up again after your well-deserved vacation.

SAS certifications

SAS offers a variety of certifications for professionals who want to demonstrate their expertise in SAS software and applications. The certifications are designed to help individuals improve their skills and knowledge in areas such as programming, analysis, administration and data management.

SAS certifications are available at various levels, including:

  • SAS Certified Specialist: A SAS certification at this level validates an individual's knowledge and skills in a specific SAS technology or application, such as SAS Data Quality or SAS Visual Analytics.
  • SAS Certified Professional: A SAS certification at this level requires a more in-depth knowledge of SAS software and applications, as well as experience in using SAS tools to solve real-world problems. Examples of certifications at this level include SAS Certified Advanced Programmer for SAS 9 and SAS Certified Predictive Modeler Using SAS Enterprise Miner 7.
  • SAS Certified Advanced Analytics Professional: This SAS certification is designed for individuals with advanced knowledge of and experience with SAS analytics and data mining. The certification includes a comprehensive exam that covers a range of topics including predictive modeling, text analytics and data visualization.
  • SAS Certified Data Scientist: This SAS certification is designed for professionals with a strong background in statistics, data mining and predictive modeling. The certification requires taking multiple exams and completing a real project using SAS software.

SAS certifications are highly valued and can help people stand out in a competitive job market. They demonstrate a commitment to excellence and a dedication to staying abreast of the latest trends and technologies in data analytics. In addition, SAS certifications can help people advance their careers, as they may qualify for better-paying jobs or more challenging roles within their organizations.

To earn a SAS certification, individuals must pass one or more exams that test their knowledge and skills in specific areas of SAS software and applications. The exams are usually administered online and can be taken at a testing center or remotely. SAS also offers courses and study materials to help individuals prepare for the exams.

Jobs and careers related SAS certifications

With SAS certification, a variety of jobs can be created in the field of data analysis and business intelligence. Some popular job titles for SAS certified professionals are:

  • Data Analyst: SAS-certified data analysts are responsible for managing and analyzing large data sets to extract meaningful insights and create data-driven reports.
  • Business Analyst: SAS certified business analysts work with stakeholders to identify business requirements, analyze data and make data-driven recommendations to improve business processes.
  • Data Scientist: SAS certified data scientists use advanced statistical and machine learning techniques to develop predictive models and identify trends in large data sets.
  • Business Intelligence Analyst: SAS certified business intelligence analysts are responsible for developing and maintaining data visualizations and dashboards to help stakeholders make informed decisions.
  • Statistical Programmer: SAS certified statistical programmers develop and maintain programs and scripts to cleanse, transform and analyze data for research purposes.
  • Risk analyst: SAS-certified risk analysts analyze data and create models to assess and manage risk in various business functions.
  • Marketing Analyst: SAS-certified marketing analysts analyze customer data to identify trends and patterns, develop marketing strategies and measure the effectiveness of marketing campaigns.
  • Healthcare analyst: SAS-certified healthcare analysts analyze healthcare data to identify trends and patterns, develop insights and produce reports to support healthcare decision making.
  • Financial Analyst: SAS certified financial analysts analyze financial data to identify trends and patterns, develop financial models and produce reports to support financial decision making.
  • Database administrator: SAS certified database administrators are responsible for maintaining and optimizing databases that store large amounts of data, ensuring data security and troubleshooting database problems.

SAS certifications are excellent for professionals looking to advance their careers in the fields of data analysis, business intelligence and research. SAS certifications demonstrate expertise and knowledge in the SAS software suite, which is widely used in many industries, including finance, healthcare, marketing, and more.

History of SAS

SAS (Statistical Analysis System) is a software package used for advanced analysis, business intelligence and data management. It was developed in the late 1960s by Anthony Barr, James Goodnight and John Sall while working as researchers at North Carolina State University. The first version of SAS was released in 1972, and since then it has become one of the most widely used tools for data analysis and statistical modeling in industries such as health care, finance and marketing.

At first, SAS was used primarily for academic research, but as the software became more powerful and user-friendly, it began to gain acceptance in the business world. In the 1980s, SAS expanded its offerings to include data warehousing and decision support, further increasing its popularity in the business world.

Over the years, SAS has continued to evolve and innovate, adding new features and capabilities to its software suite. In the 1990s, SAS introduced a graphical user interface (GUI) and added support for data mining and predictive modeling. In the 2000s, SAS began offering cloud-based solutions and expanded its offerings to include artificial intelligence and machine learning.

Today, SAS is widely recognized as one of the world's leading analytics and business intelligence platforms. It is used by organizations of all sizes and across a wide range of industries to understand their data and make more informed decisions. With a rich history of innovation and a commitment to staying on the cutting edge of analytics technology, SAS is well positioned to continue leading the industry in the years to come.

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