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所在平台: Udemy |
课程主页: https://www.udemy.com/course/basic-statistics-for-data-analysis-using-spss/
课程评论：没有评论
**课程名称：SPSS数据分析与基础统计** **课程概述：** 这门时长4.5小时的SPSS入门课程，将带您深入了解统计分析的世界。课程旨在清晰易懂地介绍统计学基础概念，无需任何统计学或SPSS基础。即使您已掌握基本知识，也能轻松上手。 **课程重点：** * **描述性统计：** 学习如何计算和解释中心趋势度量（均值、中位数、众数）和变异性度量（如标准差）。 * **SPSS操作：** 提供详细的步骤指导，帮助您下载SPSS示例文件，并应用于课程中的实例和测验。 * **实践导向：** 课程注重实践应用，最大限度地减少了不必要的术语，使学习过程更加顺畅和有动力。 * **学习体验：** 短小精悍的课程单元设计，有助于保持学习的连续性和动力。 **课程目标：** 本课程是三部分系列课程的第一部分，旨在为您打下坚实的统计学基础。完成本课程后，您将能够进行基础的数据描述和分析。 **后续课程：** 本系列的第二门课程将进一步拓展您的统计知识，深入讲解卡方检验、t检验等推断性统计技术。 **适合人群：** 如果您是学生、研究人员，或是对数据分析充满热情，希望提升统计技能的任何人，本课程都非常适合您。 **立即加入，开启您的统计技能提升之旅！**
Dive into the world of statistical analysis with our engaging SPSS course! In just 4.5 hours, you'll gain a solid understanding of fundamental concepts, including descriptive statistics and an introduction to inferential statistics.No prior knowledge of statistics or SPSS is required-if you know the basics, you're all set! This course is the first in a three-part series, specifically designed to introduce you to essential statistical concepts in a clear and accessible way.You will learn to perform descriptive statistics, including measures of central tendency (mean, median, mode) and variability (e.g., standard deviation). Plus, we provide step-by-step instructions on how to download data files used in the examples and quizzes from SPSS sample files.Looking ahead, the second course in this series will expand your knowledge with more advanced concepts, including chi-square tests, t-tests, and other inferential statistics techniques.This is by and large a practical course with very little jargon. Theory os of course important in understanding the practical aspect of the course, but to ease the learning experience, uncessary jargon has been kept at a minimum. That on top of the lessons being short enough to encourage learning and keep you motivated.Whether you're a student, a researcher, or someone passionate about data analysis, this course is perfect for you. Join us and start building your statistical skills today!
