Statistical Data Analysis with SAS

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课程主页: https://www.udemy.com/course/statistical-data-analysis-with-sas/

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课程名称:使用SAS进行统计数据分析 课程概述: 本课程旨在全面介绍适用于Windows的SAS分析软件。通过讲座、课堂示例、小测验和家庭作业的混合形式,学生将获得使用SAS系统进行数据处理、管理和分析的经验。此外,课程还将提供大量课外学习资料,供学生自学,视作额外奖励!本课程强调高效的数据处理、管理和分析所需的技能和技术,特别适合对SAS几乎没有背景的学生,以及掌握基本统计概念的学习者。这将是您数据分析职业的第一门SAS入门课程的绝佳选择。此外,您还将获得一门免费的课程——SAS数据问题处理与良好编程规范(请查阅奖励讲座)! 课程期望: 本课程设计全面,从SAS基础到统计分析,包括大量课堂示例、练习和家庭作业。您将掌握各种数据导入技术,深入理解变量属性,学习各种字符/数字函数,运用IF-THEN/ELSE语句,循环和计数变量,掌握数据步骤中的连接、合并等。此外,还将接触到多个有效的PROC步骤(PRINT、SORT、TRANSPOSE等),以及描述性统计程序(MEANS、UNIVARIATE、FREQ),假设检验(UNIVARIATE、TTEST、ANOVA),相关分析(CORR)和回归分析(REG)。 先修课程及知识: 本课程不要求有SAS背景;基本的统计知识是推荐的。

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COURSE ABSTRACTThis course aims to provide a comprehensive introduction to the SAS analytic software for Windows. Through a mixture of lectures and in-class examples, quizzes, and take-home assignments, students will gain experience using the SAS system for data manipulation, management and analysis. You will also expect A LOT of extracurricular learning materials for self-pace learning, treat it as a BONUS! Emphasis will be placed on the skills and techniques necessary for efficient data manipulation, management and analysis. It is designed for students with little to no background with SAS, and an understanding of the basic statistical concepts. This will be an excellent choice for your first SAS introduction course for your data analysis career.Plus, you will get a FREE course - SAS Data Issue Handling and Good Programming Practice (check out in the bonus lecture)!!!WHAT DO I EXPECT? A comprehensive course design from SAS basics to statistical analysisMany in-class examples, exercises and take-home assignment Master various techniques for data importingSolid understanding of variable attributes, and learn various character/numeric functions IF-THEN/ELSE statements Do loop and counter variables Master DATA step with Concatenation, Merge, etc. Exposed to several useful PROC step (PRINT, SORT, TRANSPOSE, etc.). Descriptive statistics procedures (MEANS, UNIVARIATE, FREQ)Hypothesis testing (UNIVARIATE, TTEST, ANOVA) Correlations (CORR)Regression (REG)PREREQUISITE COURSES AND KNOWLEDGE:No SAS background required; Basic knowledge of statistics is preferred.

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