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所在平台: Udemy |
课程主页: https://www.udemy.com/course/research-methods-and-statistics-advanced/
课程评论：没有评论
**课程名称：** 研究方法与统计：入门 (2023版) **课程概述：** 本课程旨在帮助学员掌握在社会科学、商业和日常生活中广泛应用的统计学原理。课程将深入浅出地讲解以下关键内容： * **统计学应用的时机：** 明确何时应运用何种统计方法。 * **统计程序背后的概念：** 深入理解支配这些程序的原理。 * **常见的统计错误：** 识别并规避在使用统计过程中可能出现的谬误。 * **数据分析优化：** 学习如何从数据中获得最佳分析结果。 课程以**研究方法**为基础，解释统计推理的逻辑。同时，本课程还将帮助学员熟悉常用的统计分析软件。 **课程详情：** * **总时长：** 11小时（包含完成课程任务后与讲师的1小时互动）。 * **课程结构：** 共11个主要章节，包含59个讲座和21个测验。 * **课程价值：** * **学术基础：** 理解基础研究方法和统计学是开展任何研究型工作的前提，也是从本科到博士阶段大学课程的重要组成部分。 * **研究设计能力：** 学习设计研究方法所需的各种技巧和数据理解能力。 * **知识广度：** 涵盖从“什么是变量”到“何时使用双向方差分析”等广泛主题。 * **实践应用：** 确保学员不仅能理解课程内容，更能将其付诸实践。 * **个性化支持：** 课程提供课后讲师答疑，给予学员反馈并解决具体问题。 **哪些人适合学习本课程：** * 希望系统学习研究方法和统计学基础知识的学生。 * 需要提升数据分析和解读能力的职场人士。 * 任何对科学研究和数据分析感兴趣的学习者。
Statistics are widely used in social sciences, business, and daily life. Given the pervasive use of statistics, this course aims to train participants in the rationale underlying the use of statistics. This course aims to explain when to apply which statistical procedure, the concepts that govern these procedures, common errors when using statistics, and how to get the best analysis out of your data. Research methodology is used as a base to explain statistical reasoning. The course also familiarises you with commonly used software for statistical analysis. The course will take 11 hours to complete, including one contact hour with the course instructor after completion of the course task. The course is divided into 11 broad sections, which include 59 lectures and 21 quizzes. Participants would benefit from the course because understanding basic research methodology and statistics is essential prior to beginning any research-related endeavor. It is also an important part of the college curriculum from undergraduate to Ph.D. levels. Designing research methods requires knowledge of various methods and understanding of data. The Research Methodology and Statistical Reasoning Course covers a vast range of topics, from what is a variable to, when to use a two-way ANOVA. The comprehensive nature of the course ensures that students and professionals are not only able to understand but also apply the course content. The course not only includes course content, but instructors that are approachable after completing it, who will provide feedback and address your specific needs.
