The course covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models).
This course provides information on how to create, design, manage, and run stored processes from SAS Enterprise Guide projects
This course provides an overview of the analytic data preparation capabilities of SAS Data Preparation on the SAS Viya platform.
This course covers the majority of content of both DataFlux Data Management Studio: Essentials and DataFlux Data Management Studio:
This course focuses on DS2, which is a fourth-generation SAS proprietary language for advanced data manipulation. DS2 enables parallel processing and storage of large data with re-usable methods and packages.
This course provides a hands-on tour of the forecasting functionality in Model Studio, a component of SAS Viya. The course begins by showing how to load the data into memory and visualize the time series data to be modeled.
This course teaches you how to use SAS programming methods to read, write, and manipulate Hadoop data.
Among techniques for data analysis and automation, machine learning has received strong attention the last few years. This is mainly due to the recent breakthroughs within deep learning, but has quite rightfully renewed interest also in more simple and approachable techniques.
Managing SAS Analytical Models Using SAS Model Manager Version 14.2
This course goes beyond the basics in administrating the SAS platform. The course explores maintenance tasks performed within the SAS administration life cycle with SAS Environment Manager.
This course teaches you how to produce high-quality presentation graphs using ODS Graphics, which is part of Base SAS beginning with SAS 9.3.
his course is for users who need to modify existing Base SAS programs that will execute in SAS Viya. This course leverages the power of SAS Cloud Analytic Services (CAS) to access, manage, and manipulate in-memory tables. This course is not intended for beginning SAS software users.
This course is a 5-day boot camp that covers the content of both SAS Data Integration Studio: Essentials and SAS Data Integration Studio: Additional Topics.
This course is for users who do not have SAS programming experience but need to access, manage, and summarize data from different sources, and present results in reports and graphs.
This course is intended for experienced SAS Enterprise Guide users who want to learn more about advanced SAS Enterprise Guide techniques.
This course is designed for SAS Enterprise Guide users who want to perform statistical analyses. The course is written for SAS Enterprise Guide 7.1 along with SAS 9.4, but students with previous SAS Enterprise Guide versions will also get value from this course.
SAS Federation Server makes it easier for business users to access secure data for reporting and analysis. I
This course covers how to administer a SAS Grid Manager Environment including the users, applications, and resources in that environment. After this course, you will understand SAS Grid Manager concepts and terminology and have a firm grasp of the fundamentals of the SAS Grid Manager architecture.
We would like to invite you to a different way of learning SAS.
We do it in shorter time, covering more topics, lot´s of hands-on exercises and get closer to your specific SAS-challenges.
This course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed.
This course shows you how to design and execute marketing campaigns using SAS Customer Intelligence Studio 6.5. Specifically, you learn how to create a campaign, work with nodes to define the campaign audience, set up a Communication node, assign offers to groups, and schedule and execute a campaign
This course teaches the basics on how to explore data and build reports using SAS Visual Analytics.
This intensive course provides accelerated learning for those students who will administer the platform for SAS Business Analytics. This course is for individuals who are comfortable with learning large amounts of information in a short period of time.
This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses.
This course is for those who need to learn data manipulation techniques using SAS DATA and procedure steps to access, transform, and summarize SAS data sets.
This course is for SAS programmers who prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situation.
This course provides an introduction to the SAS Grid environment and teaches how to submit SAS workload to the grid from a variety of different SAS products and user interfaces.
This course teaches you how to process SAS data using Structured Query Language (SQL).
This class teaches you how to improve the performance of SQL queries, and how to troubleshoot and tune other SAS processes that access relational database tables using SAS/ACCESS interfaces.
This course provides an introduction to data preparation, data discovery, and report creation in SAS Visual Analytics.
This course teaches how to explore data and build reports using SAS Visual Analytics. You will learn how to build queries in SAS Visual Data Builder and you will also learn the basics of SAS Visual Analytics Administrator
This course teaches how to administer the SAS Visual Analytics environment.
This course examines features in SAS Visual Analytics 7.4 and shows how to access the same features in SAS Visual Analytics 8.3. New capabilities are identified in SAS Visual Analytics 8.3 using SAS Drive.
SAS Visual Data Mining and Machine Learning on SAS Viya: Interactive Machine Learning
This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data. This course is appropriate for users of SAS Visual Analytics 7.2, 7.3, and 7.4.
This course introduces SAS administrators to SAS Viya 3.4. The course provides an overview of the SAS Viya architecture and shows how to perform essential SAS administration tasks using SAS Environment Manager and the command line interface.
This course combines data exploration, visualization, data preparation, feature engineering, sampling and partitioning, model training, scoring, and assessment.
This course advances your SAS data manipulation skills by leveraging hash objects, Perl regular expressions, and the DS2 programming language.