Base SAS

名称 水平 培训形式
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。

2 Fundamental Classroom Live Web Classroom 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
SAS Programming 3: Advanced Techniques and Efficiencies
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.

4 Expert 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 Expert 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
    Social Network Analytics Business Knowledge Series
    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 e-Learning
    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 Live Web Classroom
    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
    FDP-Shaping a Data Science Curriculum: Data Management, Machine Learning and Artificial Intelligence
    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
    Exporting SAS Data Sets and Creating ODS Files for Microsoft Excel
    This course presents techniques for exporting SAS data sets or reports from SAS to Excel.

    3 Intermediate Live Web Classroom
    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 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 e-Learning
    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 Live Web Classroom e-Learning
    SAS Certification Review: SAS 9.4 Base Programming Performance-Based Exam

    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
    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 Live Web Classroom 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 Classroom Live Web Classroom e-Learning
    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 e-Learning
    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 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 Expert e-Learning
    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 Live Web Classroom e-Learning