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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistical-data-analysis-with-spss-a-practical-approach/
课程评论：没有评论
**课程名称：** SPSS统计数据分析：实用方法 **课程概述：** 本课程将教授您如何使用世界顶级的统计软件SPSS（SPSS统计软件包）进行统计数据分析。SPSS广泛应用于社会科学、商业智能、心理学、法医研究、医学研究等多个研究领域。 通过本课程，您将跟随一个研究项目，从调查生成的原始数据开始，学习一系列复杂的统计程序，从中提取有价值的信息。您将掌握以下SPSS操作： * 定义变量和输入数据 * 导入数据 * 转换和重编码变量 * 反向编码和计算变量 * 描述性统计分析 * 独立样本和配对样本 t 检验 * 独立样本和配对样本方差分析 (ANOVA) * 多变量方差分析 * 协方差分析 (ANCOVA) * 相关性分析 * 简单和多元线性回归模型检验 * 逻辑回归模型检验 * 以及其他训练有素的分析师应知晓的步骤。 课程提供配套练习和数据库下载资源，帮助您巩固SPSS使用技巧。课程内容持续更新，定期上传新讲座，以不断提升您的专业知识。 **立即开始，学习SPSS统计数据分析的实用方法！**
In this course, you will learn how to perform statistical data analysis with one of the best statistical software in the world, called SPSS (Statistical Package for Social Sciences).SPSS is indeed one of the best statistical software for many fields of research, such as social sciences, business intelligence, psychology, forensic research, medical research, and many others.This course will present you with a research project that you will follow from the primary data generated by a survey, to a large set of statistical procedures able to extract valuable information from this data.In this journey, you will learn to perform the following procedures in SPSS: to define variables and to introduce data, to import data, to transform and recode variables, to reverse and compute variables, to perform descriptive analysis, to perform independent and repeated measures t-tests, to perform independent and repeated Analysis of Variance (ANOVA), to perform multivariate ANOVA analysis, to perform ANCOVA analysis, to perform correlations, to test simple and multiple linear regression models, to test logistic models, and all other procedures that a well-trained analyst should know.For each presentation, there are several exercises and databases attached as downloadable resources, which you can use to consolidate your knowledge about how to use SPSS properly.Finally, this course is an ongoing process, which means that each new week or month, there will be constantly uploaded new lectures in order to upgrade your knowledge continuously.So, what are we waiting for? Let's go!
