Base SAS
Title | Level | Training Formats |
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SAS Programming 1: Essentials ![]() 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 learning, and artificial intelligence. It is a prerequisite to many other SAS courses. If you do not plan to write SAS programs and you prefer a point-and-click interface, you should attend the SAS Enterprise Guide 1: Querying and Reporting course. |
2 Fundamental | ![]() ![]() ![]() ![]() ![]() |
SAS Programming for R Users ![]() This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation. Students in this course should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS SQL 1: Essentials
This course teaches you how to process SAS data using Structured Query Language (SQL). |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS Programming 2: Data Manipulation Techniques
This course is for those who need to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the SAS Programming 1: Essentials course and is not recommended for beginning SAS software users. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS Programming 3: Advanced Techniques
This course is for SAS programmers who want to learn advanced techniques within the DATA step and procedures. The course builds on the concepts that are presented in the SAS Programming 2: Data Manipulation Techniques course. |
4 Expert | ![]() ![]() ![]() ![]() ![]() |
SAS Macro Language 1: Essentials
This course focuses on using the SAS macro facility to design, write, and debug macro programs, with an emphasis on understanding how programs that contain macro code are processed. |
4 Expert | ![]() ![]() ![]() ![]() ![]() |
Administrative Healthcare Data and SAS: Hands-On Programming Workshop ![]() This hands-on workshop is open to SAS programmers who attended the Administrative Healthcare Data and SAS course. This workshop explores programming methods and techniques that are useful in the management of administrative healthcare data. |
2 Fundamental | ![]() ![]() ![]() ![]() ![]() |
Administrative Healthcare Data and SAS ![]() 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 the providers, payers, and users of the U.S. healthcare system. This course is not a hands-on programming course, but rather, it explores the business of medical claims data, health plan members, and service providers. As a supplement to this course, programmers should consider also registering for Administrative Healthcare Data and SAS: Hands-On Programming Workshop, a one-day course that focuses on programming methods and techniques that are useful in the healthcare industry. The two courses are offered on contiguous days. |
2 Fundamental | ![]() ![]() ![]() ![]() ![]() |
Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models ![]() This course introduces some methods commonly used in program evaluation and real-world effectiveness studies, including two-stage modeling, interrupted time-series, regression discontinuity, and propensity score matching. These methods help address questions such as: Which medicine is more effective in the real world? Did an advertising program have an impact on sales? More generally, are the changes in outcomes causally related to the program being run? |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Social Network Analytics ![]() This course discusses how to leverage social networks for analytical purposes. Obviously, when we say "social networks," many people think of Facebook, Twitter, Google+, LinkedIn, and so on. These are all examples of networks that connect people using either friendship or professional relationships. In this course, we zoom out and provide a much more general definition of a social network. In fact, we define a social network as a network of nodes that are connected using edges. Both nodes and edges can be defined in various ways, depending on the setting. This course starts by describing the basic concepts of social networks and their applications in marketing, risk, fraud, and HR. It then defines various social metrics and illustrates how they can be used for community mining. The course also discusses how social networks can be used for predictive analytics. The course provides a sound mix of both theoretical and technical insights, as well as practical implementation details, and is illustrated by several real-life cases. The instructor extensively reports on both his research and consulting experience in the field. References to background material such as selected papers, tutorials, and guidelines are also provided. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
FANS Membership
FANS is a member driven SAS users group. Attending FANS gives you the opportunity to network with your peers, while enhancing your skills and knowledge about the latest SAS technology. The FANS membership includes pre-paid ticket/discount to FANS network events, FANS Conferences and International Conferences. Membership Packages can be viewed here . Prices: FANS Company Kr. 22.000 - EUR 2500 FANS Personal Kr. 3.500 - EUR 400 FANS Partner Kr. 33.000 - EUR 3900 |
0 No level | ![]() ![]() ![]() ![]() ![]() |
SAS Programming Certification Fast Track
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 learning, and artificial intelligence. This course is also for those who need to learn data manipulation techniques using the SAS DATA step and SAS procedures to access, transform, and summarize data.It is a prerequisite to many other SAS courses. |
0 No level | ![]() ![]() ![]() ![]() ![]() |
Free SAS Lab Day
Visit SAS Institute and work in our Lab. Use this opportunity to join us at SAS and bring your SAS work and SAS-programs. You will meet our teachers and you can discuss your questions with SME (subject matter experts) Our programming curriculum and courses has been revised in 2018 and the content is now more compact. The programming 1 course has been shortened from 3 to 2 days and many of our students like the structure of the course, but they also think that there is too little time for exercises. Therefore, we would like to give our students the possibility to come to SAS for an extra free day. You can work with our programming case or just work with the exercises from the programming course. If you have own problems or question you can bring them this day. Length: You are welcome to stay 1-2 hours or the whole day |
1 Beginner | ![]() ![]() ![]() ![]() ![]() |
SAS Programming Series
Workshops with modern development environments and tools SAS® Enterprise Guide®, SAS® Studio, SAS® Graph, ODS and Reports Over the years our teachers at SAS have received questions about extra functionality when writing programs in SAS. All these questions are the foundation for these workshops we have created. These workshops will give you new tools and knowledge that will help you write SAS-programs in a more modern way. Content: Workshop 1- FCMP Workshop 2 - Filename Workshop 3 - PROC IML basics and R interaction Workshop 4 - Advanced data step features Workshop 5 - ODS Workshop 6 - Macro Length: 3 hours each Price: For onsite workshops at your location, KR 6.000,- / EUR 800 ex. VAT, pr. Workshop For public scheduled workshops, KR 1.000,- / EUR 130 ex. VAT, pr. person, pr. session |
1 Beginner | ![]() ![]() ![]() ![]() ![]() |
FDP-Shaping a Data Science Curriculum
This FDP supports developing a data science program that covers a variety of topics and enables students to acquire the skills that industry is looking for their employees to have. The FDP helps universities develop a pool of talent with the range of analytical and technology skills to work in a data-rich business environment. |
1 Beginner | ![]() ![]() ![]() ![]() ![]() |
Summer Fast Track: SAS Base Programming
This course is for users who want to learn how to write SAS programs and who need to learn data manipulation techniques using SAS DATA and procedure steps to access, transform, and summarize SAS data sets. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses. This fast track combines the courses SAS Programming 1: Essentials and SAS Programming 2: Data Manipulation Techniques. |
1 Beginner | ![]() ![]() ![]() ![]() ![]() |
Introduction to Statistical Concepts ![]() This course covers basic statistical concepts that are critical for understanding and using statistical methods. This course explains what statistics is and why it is important to understand the characteristics of your data. The information in this course is a prerequisite for many other statistical courses that SAS Education offers. The course is appropriate for Base SAS and SAS Enterprise Guide users. Data, practices, and a case study are included. |
1 Beginner | ![]() ![]() ![]() ![]() ![]() |
SAS Programming Fast Track
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3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Building and Solving Optimization Models with SAS/OR
This course focuses on formulating and solving mathematical optimization models using the OPTMODEL procedure, from inputting data to interpreting output and generating reports. The course covers linear, integer, mixed integer, and nonlinear programming problems, with an emphasis on model formulation and construction. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS SQL Methods and More
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. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS Learning Conference - For SAS Programmers & SAS Enterprise Guide Users
Overview The SAS Enterprise Guide Learning Conference gives all SAS Enterprise Guide users the opportunity to share experiences, learn new approaches, best practices, and more. In various learning sessions and workshops, you can work with the software and learn new ways to use SAS Enterprise Guide and SAS programming. You can also bring your own tasks and discuss solutions with a specialist in a personal conversation. We have workshops in three different areas: |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS SQL 2: Working with Databases
The purpose of this course is to access your DBMS’s via Proc sql. We look at all kinds of combinations of SAS and DBMS’s, look at performance and options to set up to make your queries run optimal. There will be a combination of teaching and exercises. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS Clinical Programming Fundamentals
The SAS Clinical Programming Fundamentals program represents Level 1 of the SAS Academy for Clinical Programming. This joint training program, brought to you by SAS and partner OCS Consulting, provides a strong foundation for applying SAS programming skills to clinical trials data. You learn essential SAS programming skills, techniques for data manipulation and report writing, and more. A certification exam voucher is included. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Summer Fast Track: SAS Advanced Programming
This course is for users who want to learn more advanced functionality for writing SAS programs, with a focus on applying efficiency techniques, using SAS macro code, and processing SAS data using Structured Query Language (SQL). The "fast track" format for this offering combines the SAS Programming 3: Advanced Techniques, SAS Macro Language 1: Essentials, and SAS SQL 1: Essentials courses. The course provides an introduction to SQL processing, and access to the e-learning version of the Essentials course is provided so that students can study the subject matter independently. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Efficiency Tips for Database Programming in SAS
This class teaches you how to tune your SAS programs for faster execution, especially those that access relational database tables using SAS/ACCESS interfaces or SAS Viya data connectors. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Exploring SAS Studio for SAS Analytics Pro
This course demonstrates how the functionality and features of SAS Studio for SAS Analytics Pro in SAS Viya can enable SAS programmers to save time by coding more efficiently. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
ODS Graphics: Essentials
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. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Introduction to SAS/ACCESS Interface to Teradata
This course teaches you how to read Teradata tables in Teradata using the SAS 9.4 SAS/ACCESS Interface to Teradata. You learn how to connect to Teradata and to query a single Teradata table and multiple Teradata tables. You also learn efficiency techniques and options for optimizing data access performance. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Exploring SAS Studio for SAS Programmers
This course provides an introduction to SAS Studio for experienced SAS programmers. SAS Studio is an interface that enables users to write and submit SAS programs and use snippets and tasks to generate SAS code. The self-study e-learning includes:
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3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS Certification Review: SAS 9.4 Base Programming Performance-Based Exam
This course provides a review of the majority of topics in the SAS 9.4 Base Programming Performance-Based Exam. It addresses the four exam content areas: Accessing and Creating Data Structures, Managing Data, Generating Reports and Output, and Handling Errors. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS Federation Server: Accessing and Virtualizing Enterprise Data
SAS Federation Server makes it easier for business users to access secure data for reporting and analysis. It provides a virtual layer or view, giving users the appropriate level of control without physically moving data. This frees up IT staff to focus on other tasks by giving them a simple method of sharing data using a centralized, governed security layer. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Hadoop Data Management with Hive, Pig, and SAS
In this course, you use processing methods to prepare structured and unstructured big data for analysis. You learn to organize this data into a variety of Hadoop distributed file system (HDFS) storage formats for processing efficiency using Apache Hive and Apache Pig. You also learn SAS software technologies that integrate with Hive and Pig and how to leverage these open source capabilities by programming with Base SAS and SAS/ACCESS Interface to Hadoop. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS Report Writing
This course teaches you how to create tabular reports using the REPORT and TABULATE procedures. You also learn how to enhance your reports using the Output Delivery System (ODS). The self-study e-learning includes:
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3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Introduction to SAS and Hadoop
This course teaches you how to use SAS programming methods to read, write, and manipulate Hadoop data. Base SAS methods that are covered include reading and writing raw data with the DATA step and managing the Hadoop file system and executing Pig code from SAS via the HADOOP procedure. In addition, the SAS/ACCESS Interface to Hadoop methods that allow LIBNAME access and SQL pass-through techniques to read and write Hadoop Hive table structures are discussed. Although not covered in detail, a brief overview of additional SAS and Hadoop technologies, including executing DS2 in Hadoop with the SAS Code Accelerator for Hadoop and using Hadoop data sources for the distributed in-memory analytics platform of SAS Viya, is included. This course is included in the Expert Exchange on Hadoop: Using SAS/ACCESS service offering to configure SAS/ACCESS Interface to Hadoop or SAS/ACCESS Interface to Impala to work with your Hadoop environment. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
SAS Advanced DATA Step and Macro Techniques
This new special course is for people that have basic knowledge about SAS programming, such as data steps, proc sql, the macro language, but want to learn more and get a deeper understanding for SAS programming. The course will focus on the data step, and corresponds to the course SAS Programming 3: Advanced Techniques and Efficiencies and SAS® Macro Language 2: Advanced Techniques. |
4 Expert | ![]() ![]() ![]() ![]() ![]() |
DS2 Programming Essentials with Hadoop
This course focuses on DS2, a fourth-generation SAS-proprietary language providing modern programming techniques and structures for parallel processing and preparing large data for analysis. A brief introduction to Hadoop, including a comparison to traditional relational databases, is included. If you are a programmer/data scientist who wants training and hands-on experience manipulating Hadoop data using powerful SAS algorithms, this class is for you. |
4 Expert | ![]() ![]() ![]() ![]() ![]() |
SAS Advanced Programming: Fast Track
This course is for users who want to learn advanced SAS programming. This course combines the SAS Programming 3: Advanced Techniques, SAS SQL 1: Essentials, and SAS Macro Language 1: Essentials courses. This course is not recommended for those who have not programmed before. |
4 Expert | ![]() ![]() ![]() ![]() ![]() |
SAS Macro Language 2: Advanced Techniques
This course covers macro quoting functions, macro storage, and macro techniques for advanced data access, table lookup operations, advanced parameter validation, and macro windows. |
4 Expert | ![]() ![]() ![]() ![]() ![]() |
Feature Engineering and Data Preparation for Analytics
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 spot and avoid common pitfalls that compromise the integrity of the data being used to build a predictive model. This course relies heavily on SAS programming techniques to accomplish the desired objectives. The self-study e-learning includes:
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4 Expert | ![]() ![]() ![]() ![]() ![]() |
High-Performance Data Manipulation with SAS DS2
This course focuses on learning DS2, a fourth-generation SAS language for advanced data manipulation. DS2 blends DATA step and SQL syntax with modern programming structures, and enables parallel processing in Base SAS as well as massively parallel processing environments such as Hadoop and SAS Viya Cloud Analytic Services (CAS). A brief introduction to SAS Viya is included. |
4 Expert | ![]() ![]() ![]() ![]() ![]() |