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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-for-absolute-beginners/
课程评论：没有评论
课程名称：R编程 - R语言初学者课程 概述：您决定学习R编程，但不知道从何开始？或者您是希望顺利过渡到R编程的数据分析师或数据科学家？本课程正是为您设计的！该课程致力于帮助初学者深入了解R编程，涵盖R对象、用户界面以及多个数据集的使用。学生们普遍反映该课程内容详尽，提供了大量练习机会，使得知识逐步积累。课程内容包括： - 对R对象的介绍，掌握常用命令； - 视频讲座，逐步演示所学知识的应用； - 实践练习与问题，以不同难度测试您的知识； - 分析真实数据集，理解从问题到R代码解决方案的思路。 课程重点在于实用编程，而非单纯教授每个函数，您将学习如何通过阅读问题和示例自主找到答案。完成课程后，您将能够使用R分析自己的数据集，熟悉R的向量、数组、矩阵和列表等概念，提升数据分析能力。 您将能够执行以下操作： - 将CSV和Excel文件加载到R中； - 绘制有趣的折线图以得出数据结论； - 创建数值数据的直方图； - 编写自定义函数以重用代码； - 切片和处理数据框，针对特定领域筛选数据。 与成千上万的专业人士和学生一起加入这段R语言学习之旅，发现这门强大的开源统计语言的魅力。课程将根据学生的反馈不断更新。
So, you've decided that you want to learn R or you want to get familiar with it, but don't know where to start? Or are you a data/business analyst or data scientist that wants to have a smooth transition into R programming?Then, this course was designed just for you! Hear what other students have to say first:"I came to this course after an online university course *cough coursera cough* left me crying. The entire curriculum that this class covers was what they covered in week 1, and from what I've heard, R has a very steep learning curve. The extra time taken to even walkthrough installation is clearer here. It is much appreciated. You get lots of opportunities to practice, follow along, and really build your knowledge step by step." 5 star review by a Udemy user"A really really good course for beginners in R, highly recommended. Everything is well explained in detail and enough coding exercises to get you familiarize with concepts before moving to the next section.Thanks for this Ivo, appreciated." 5 star review by a Udemy user"Easy to understand, calm and clear explanation. Covered points which are ignored by other tutors. Great" 5 star review by a Udemy userThis course was designed to be your first step into the R programming world! We will delve deeper into the concepts of R objects, understand the R user interface and play around with several datasets. This course contains lectures around the following groups: Introductory slides lectures with the most well-known commands for each type of R object.Code along lectures where you will see how we can implement the stuff we will learn! Test your knowledge with questions and practical exercises with different levels of difficulty!Analyze real datasets and understand the thought process from question to R code solution!This course was designed to be focused on the practical side of coding in R - instead of teaching you every function and method out there, I'll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects. At the end of the course you should be able to use R to analyze your own datasets. Along the way you will also learn what R vectors, arrays, matrixes and lists are and how you can combine the knowledge of those objects to power up your analysis. Here are some examples of things you will be able to do after finishing the course:Load CSV and Excel files into R;Do interesting line plots that enable you to draw conclusions from data.Plot histograms of numerical data.Create your own functions that will enable you to reutilize code.Slice and dice Data Frames, subsetting data for specific domains.Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language. This course will be constantly updated based on students feedback.
