Base SAS

名称 水平 培训形式
FDP - Shaping an Analytics Curriculum (A SAS & Open Source Approach)
This outline is provisional and subject to change.The Faculty Development Program (FDP) teaches you fundamental concepts and relevant techniques in analytics and machine learning using a powerful mix of SAS and open-source programming languages. The course also enables you to explore academic and collaborative opportunities with SAS in the area of advance analytics for designing better curriculum and effective pedagogy.

0 No level Live Web Classroom
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. This course is available as instructor-led training and combines topics from SAS Programming 1: Essentials and SAS Programming 2: Data Manipulation Techniques.

0 No level Classroom Live Web Classroom
SAS编程 1:要点 Free e-learning
本课程是为希望学习SAS编程的人员而专门设计的,它是SAS编程和其他SAS课程的基础。如果您并不希望学习SAS编程或者更喜欢图形化操作,我们建议您学习《SAS Enterprise Guide:查询和报表》的课程。本课程可以帮助您准备SAS Base Programming Exam for SAS 9认证考试。

1 Beginner Classroom Live Web Classroom e-Learning
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 Live Web Classroom
Introduction to Statistical Concepts Free e-learning
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 e-Learning
SAS Programming: Getting Started Free e-learning
This journey will help you get started developing code in SAS. This collection of free learning assets provide a tour of what is possible with programming in either SAS 9 or SAS Viya.

1 Beginner e-Learning
SAS Viya Data Engineering: Getting Started Free e-learning
Get started using SAS Data Engineering by spending a little time each day learning a new aspect of the offering. Over the course of a few weeks, you'll get a good idea of the skills you may need to leverage SAS' data engineering capabilities. At the end of your journey be sure to explore formal enablement opportunities to continue your quest in becoming a SAS Data Engineer.

1 Beginner e-Learning
SAS Programming for R Users Free e-learning
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 e-Learning
SAS SQL 1: 要点
本课程将教会您如何使用结构化查询语言(SQL)来处理 SAS数据。本课程将有助于您考取下列认证: SAS Certified Advanced Programmer for SAS 9.

3 Intermediate Classroom Live Web Classroom e-Learning
SAS编程 2:数据处理技术
本课程是为希望学习通过SAS DATA和过程步来访问、转换和汇总SAS数据集的人员而专门设计的。它基于《SAS编程 1: 基础》课程介绍的基本概念而展开,所以不建议SAS初学者直接选择此课程。本课程可以帮助您准备SAS Base Programming Exam for SAS 9认证考试。

3 Intermediate Classroom Live Web Classroom e-Learning
Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models Business Knowledge Series
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 e-Learning
SAS报表制作1: 要点
  • 本课程教您如何使用Basic SAS程序创建详细的汇总表报表。您还可以学习如何使用Output Delivery System(ODS)增强报表。
  • 本课程将帮助您准备下列认证考试: SAS Certified Clinical Trials Programmer Using SAS 9.

  • 3 Intermediate Classroom
    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 Live Web Classroom
    SAS Viya 编程
    本课程适用于需要修改将在SAS Viya中执行的现有基本SAS程序的用户。 本课程利用SAS Cloud Analytic Services(CAS)的功能来访问,管理和操作内存中的表。 本课程不适合SAS新手用户使用。

    3 Intermediate Classroom Live Web Classroom
    SAS and Hadoop
    This is the third course in the Data Curation Professional, SAS Academy for Data Science program. The program is required to earn your SAS data science certification. Designed for SAS data scientists, this program covers SAS topics for data curation techniques, including big data preparation with Hadoop. In this course, you learn about the Hadoop environment, Apache Hive, and Apache Pig, as well as various SAS methods for interacting with Hadoop.

    3 Intermediate e-Learning
    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:

    • Annotatable course notes in PDF format.
    • Virtual Lab time to practice.

    3 Intermediate Live Web Classroom e-Learning
    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 Live Web Classroom e-Learning
    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 Live Web Classroom e-Learning
    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 Live Web Classroom e-Learning
    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 Live Web Classroom e-Learning
    Data Visualization Using SAS ODS Graphics New
    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:

    • Annotatable course notes in PDF format.
    • Virtual lab time to practice.

    3 Intermediate Live Web Classroom e-Learning
    SAS编程 3: 高级技术与效率
    本课程针对需要准备数据进行分析的SAS程序员。根据的数据情况,比较操作技术和资源成本效益的目的是帮助程序员选择最合适的技术。本课程将有助于您准备下列认证考试: SAS Certified Advanced Programmer for SAS 9.

    4 Advanced Classroom Live Web Classroom e-Learning
    SAS 宏语言 1: 要点
  • 本课程的专注在于的SAS宏组件,并学习如何设计、编写、与编译宏系统。重点放在理解如何处理宏代码的程序.
  • 本课程有助于您获得以下认证考试:SAS Certified Advanced Programmer for SAS 9, SAS Certified Clinical Trials Programmer Using SAS 9.

  • 4 Advanced Classroom Live Web Classroom e-Learning
    SAS Advanced Programming: Fast Track
    This course is for users who want to learn advanced SAS programming. This course combines the SAS编程 3: 高级技术与效率, SAS SQL 1: 要点, and SAS 宏语言 1: 要点 courses. This course is not recommended for those who have not programmed before.

    4 Advanced Live Web Classroom
    Feature Engineering and Data Preparation for Analytics New
    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:

    • Annotatable course notes in PDF format.
    • Virtual Lab time to practice.

    4 Advanced e-Learning