Base SAS
| Title | Level | Training Formats |
|---|---|---|
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 | |
|
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 | |
|
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:
|
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:
|
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 | |
|
Data Visualization Using SAS® ODS Graphics
This course teaches you how to write SAS programs that use ODS Graphics to produce high-quality data visualizations. ODS Graphics is part of Base SAS. The self-study e-learning includes:
|
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 | |
|
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:
|
4 Expert | |
|
High-Performance Data Manipulation with SAS® DS2
This course teaches DS2 programming. DS2 is a fourth-generation SAS language, designed for advanced data manipulation. It blends DATA step and SQL syntax using modern programming structures and can process multiple rows of data in parallel in Base SAS and in supported massively parallel processing environments such as Hadoop, Teradata, and SAS Cloud Analytic Services (CAS). A brief introduction to SAS Viya and Cloud Analytic Services is included. The self-paced e-learning includes:
|
4 Expert | |