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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statisticsinr/
课程评论：没有评论
**课程名称：R语言统计分析** **课程概述：** 本课程是为希望学习统计编程、在量化领域工作，并需要掌握统计检验和回归分析的学员设计的。课程旨在帮助学员高效学习R语言在统计学中的应用，并在竞争中保持优势。 **课程内容：** 1. **描述性统计与推断性统计：** 学习如何进行描述性统计，并深入理解统计推断的基本概念。 2. **常用推断性统计检验：** 重点讲解最重要且最常用于解答统计问题的推断性检验。学员将学会何时以及如何选择并执行这些检验。 3. **回归建模：** 全面学习R语言中的回归建模技术，包括多元线性回归和逻辑回归。 4. **R语言实践：** 课程强调实践学习，每部分都包含练习题，并提供可下载的PDF代码文件，供学员自行练习。 **先修要求：** 对于R语言基础薄弱的学员，建议先完成“R Level 1”课程，以掌握基本的编程策略。 **课程亮点：** * 系统讲解描述性统计、推断性统计以及回归建模。 * 专注于实际应用中最常用和最重要的统计检验。 * 理论与实践相结合，通过大量练习巩固学习成果。 * 提供可下载的代码资料，方便学员自行实践。
Do you want to learn more about statistical programming? Are you in a quantitative field? You want to know how to perform statistical tests and regressions? Do you want to hack the learning curve and stay ahead of your competition? If YES came to your mind to some of those points - read on! This tutorial will teach you anything you need to know about descriptive and inferential statistics as well as regression modeling in R. While planing this course we were focusing on the most important inferential tests that cover the most common statistical questions. After finishing this course you will understand when to use which specific test and you will also be able to perform these tests in R. Furthermore you will also get a very good understanding of regression modeling in R. You will learn about multiple linear regressions as well as logistic regressions. According to the teaching principles of R Tutorials every section is enforced with exercises for a better learning experience. You can download the code pdf of every section to try the presented code on your own. Should you need a more basic course on R programming we would highly recommend our R Level 1 course. The Level 1 course covers all the basic coding strategies that are essential for your day to day programming. What R you waiting for? Martin
