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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-r-programming-gm/
课程评论：没有评论
**R语言入门课程总结** 本课程旨在帮助学习者克服对R语言编程的恐惧，轻松掌握R语言的基础知识。课程采用易于理解的教学方式，并结合R Studio内置的数据集进行演示，方便学习者在家中进行代码复现。 课程强调了R语言数据分析的五个基本步骤： 1. **导入与检查数据 (Import and inspect your data)** 2. **清洗与整理数据 (Clean and shape your data)**，包括选择变量、筛选行和处理缺失值。 3. **描述性统计分析 (Describe your data)**，例如创建关键参数的汇总表。 4. **数据可视化 (Visualise your data)** 5. **进行适当的统计和建模分析 (Undertake appropriate statistical and modeling analysis)** 通过本课程，学员将对R语言的编程原理有全面的了解，并能感受到使用R进行数据分析的便捷与乐趣。R语言能够提供清晰的分析记录，便于追溯结论的得出过程，同时也有助于与他人协作，方便获取专业帮助。 本课程是您进入R语言编程世界的优秀起点，相信您会爱上R语言。立即报名，开启您的R语言学习之旅！
Finding R difficult? It doesn't need to be. This course will walk you through the basics in a way that is easy to follow. Dr Martin teaches with examples that use datasets that are already built into R Studio, so you can replicate the code at home.The trick with R programming is to start with the basics and have a clear analysis plan. It should look something like this: 1) import and inspect your data, 2) clean and shape your data, including selecting variables, filtering rows and dealing with missing values, 3) describe your data, including tables that summarise key parameters, 4) visualise your data, and 5) undertake appropriate statistical and modeling analysis.This course will give you a general understanding of how R programming works. You'll find it easy and in fact exciting to work in R once you've overcome the initial fear of programming. It makes a lot of sense to do data analysis using R because you'll have a clean record of how you drew your conclusions. Working with R also facilitates collaboration with others (so you can get help from experts very easily).If this is your first step into the world of R programming - welcome aboard. You'll love it. So don't delay, sign up now and start the adventure!
