Recommended SAS Training
The IT Skills Taught in SAS Training
SAS is a key leader in business analytics software and services and the largest independent vendor in the business intelligence market. SAS offers flexible data preparation and management capabilities to build models with rich interactive visualization and data exploration. SAS uses in-memory, in-database and grid capabilities that offer state-of-the-art predictive analytics and data mining capabilities to help organizations analyze complex data, find useful insights and act confidently to make fact-based decisions for the business.
As demand for SAS Data Scientists, Programmers, Business Analysts, System Administrators, Statisticians, and SAS Modelers continues to increase in the age of Big Data, ExitCertified is a leading SAS education partner that can help you and your organization train for all of these roles and meet current SAS training requirements.
Our SAS partnership allows ExitCertified to provide the best authorized SAS courses, instructors, materials, and digital learning platform to our clients. ExitCertified offers training across the SAS software stack including Enterprise Guide, JMP, Viya, and Enterprise Miner as well as beginner and advanced SAS programming, administration, and security courses to meet the growing demand for SAS professionals.
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Data Scientist Topic: AI & Machine Learning | Code: XDS51
SAS - Experimentation in Data Science (Course)
XDS51
This course explores the essentials of experimentation in data science, why experiments are central to any data science efforts, and how to design efficient and effective experiments. The e-learning...
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SAS Topic: AI & Machine Learning | Code: SADS2
SAS(R) Academy for Data Science: Advanced Analytics (Course)
SADS2
The SAS Certified Advanced Analytics Professional program represents Level 2 of the SAS Academy for Data Science. Students learn a variety of machine learning and predictive modeling techniques as...
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Data Scientist Topic: AI & Machine Learning | Code: OPCN51
SAS - Optimization Concepts for Data Science (Course)
OPCN51
This course focuses on linear, nonlinear, and efficiency optimization concepts. You learn how to formulate optimization problems and how to make their formulations efficient by using index sets and...
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Data Mining Topic: AI & Machine Learning | Code: AIBT13
SAS(R) AI & Machine Learning Certification Program (Course)
AIBT13
The SAS AI & Machine Learning Certification Program is designed for data professionals who want to learn artificial intelligence and machine learning techniques using SAS Viya. Students learn to...
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Data Mining Topic: AI & Machine Learning | Code: AIBT23
SAS(R) AI & Machine Learning Certification Program (AI only) (Course)
AIBT23
This program is designed for data professionals who want to earn a SAS Certified Professional: Artificial Intelligence and Machine Learning credential and have already passed one of the following...
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Statistical Analysis Topic: First | Code: MULT42
SAS - Multivariate Statistics for Understanding Complex Data (Course)
MULT42
This course teaches how to apply and interpret a variety of multivariate statistical methods to research and business data. The course emphasizes understanding the results of the analysis and...
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Optimization and Simulation Topic: Agile and DevOps | Code: BHLM42
Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS(R) (Course)
BHLM42
This course teaches how to identify complex and dynamic patterns within multilevel data to inform a variety of decision-making needs. The course provides a conceptual understanding of multilevel...
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Programming Topic: Business Intelligence | Code: PG1V2
SAS(R) Programming 1: Essentials (Course)
PG1V2
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine...
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Advanced Analytics Topic: Business Intelligence | Code: BANAM
SAS - Leading with Analytics (Course)
BANAM
You know that analytics can help your company succeed. However, it is not always clear where and how analytics can help. Even worse, it can sometimes seem like everyone is speaking a different...
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Data Mining Topic: Programming | Code: BMCE42
SAS - Survival Data Mining: A Programming Approach (Course)
BMCE42
This advanced course discusses predictive hazard modeling for customer history data. Designed for data analysts, the course uses SAS/STAT software to illustrate various survival data mining methods...
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Statistical Analysis Topic: First | Code: CDAL42
SAS - Categorical Data Analysis Using Logistic Regression (Course)
CDAL42
This course focuses on analyzing categorical response data in scientific fields. The SAS/STAT procedures addressed are PROC FREQ, PROC LOGISTIC, PROC VARCLUS, and PROC GENMOD. The ODS Statistical...
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Health and Life Sciences Topic: Business Intelligence | Code: BHCDA94
Administrative Healthcare Data and SAS(R) (Course)
BHCDA94
This industry-specific course focuses on the payer side of the industry: the origin, content, management, and use of administrative healthcare data. During the course, students become acquainted with...
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SAS Topic: Business Intelligence | Code: DMDP42
SAS - Feature Engineering and Data Preparation for Analytics (Course)
DMDP42
This course introduces programming techniques to craft and feature engineer meaningful inputs to improve predictive modeling performance. In addition, this course provides strategies to preemptively...
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Data Management for Hadoop Topic: Business Intelligence | Code: DL31HD
Working with SAS(R) Data Loader for Hadoop (Course)
DL31HD
This course gives business analysts and data scientists a seamless platform to profile, integrate, cleanse, and move big data without writing code in a Hadoop environment using an intuitive web-based...
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Statistical Analysis Topic: Agile and DevOps | Code: LONG41
SAS - Longitudinal Data Analysis with Discrete and Continuous Responses (Course)
LONG41
This course is for scientists and analysts who want to analyze observational data collected over time. It is not for SAS users who have collected data in a complicated experimental design. They should...
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