Getting Started with SAS Programming

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课程主页: https://www.coursera.org/archive/sas-programming-basics

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SAS

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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. By the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables. Prerequisites: Learners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.

SAS编程入门:本课程适用于想要学习如何编写SAS程序以访问,浏览,准备和分析数据的用户。它是学习用于数据科学,机器学习和人工智能的SAS编程的切入点。这是许多其他SAS课程的先决条件。 在本课程结束时,您将知道如何使用SAS Studio编写和提交访问SAS,Microsoft Excel和文本数据的SAS程序。您将知道如何浏览和验证数据,通过设置行子集和计算新列来准备数据,分析和报告数据,将数据和结果导出为其他格式,在SAS中使用SQL查询和联接表。 先决条件: 学习者应具有使用计算机软件的经验。具体来说,您应该能够理解操作系统上的文件结构和系统命令,并能够访问操作系统上的数据文件。无需任何SAS经验。

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