In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
提供方
约翰霍普金斯大学课程信息
362,326 次近期查看
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
中级
Familiarity with regression is recommended.
完成时间大约为57 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 巴西葡萄牙语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）, 日语
您将学到的内容有
Understand critical programming language concepts
Configure statistical programming software
Make use of R loop functions and debugging tools
Collect detailed information using R profiler
您将获得的技能
- Data Analysis
- Debugging
- R Programming
- Rstudio
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
中级
Familiarity with regression is recommended.
完成时间大约为57 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 巴西葡萄牙语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）, 日语
提供方
约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
授课大纲 - 您将从这门课程中学到什么
完成时间为 25 小时
Week 1: Background, Getting Started, and Nuts & Bolts
This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.
完成时间为 25 小时
28 个视频 （总计 129 分钟）, 9 个阅读材料, 8 个测验
完成时间为 12 小时
Week 2: Programming with R
Welcome to Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics like control structures and functions. We also introduce the first programming assignment for the course, which is due at the end of the week.
完成时间为 12 小时
13 个视频 （总计 91 分钟）, 3 个阅读材料, 5 个测验
完成时间为 9 小时
Week 3: Loop Functions and Debugging
We have now entered the third week of R Programming, which also marks the halfway point. The lectures this week cover loop functions and the debugging tools in R. These aspects of R make R useful for both interactive work and writing longer code, and so they are commonly used in practice.
完成时间为 9 小时
8 个视频 （总计 61 分钟）, 2 个阅读材料, 4 个测验
完成时间为 11 小时
Week 4: Simulation & Profiling
This week covers how to simulate data in R, which serves as the basis for doing simulation studies. We also cover the profiler in R which lets you collect detailed information on how your R functions are running and to identify bottlenecks that can be addressed. The profiler is a key tool in helping you optimize your programs. Finally, we cover the str function, which I personally believe is the most useful function in R.
完成时间为 11 小时
6 个视频 （总计 42 分钟）, 4 个阅读材料, 5 个测验
审阅
- 5 stars68.15%
- 4 stars22.20%
- 3 stars5.81%
- 2 stars2.05%
- 1 star1.77%
来自R 语言程序设计（中文版）的热门评论
由 JS 提供Sep 8, 2019
The course was a wonderful introduction to R, though I felt the programming projects were lacking a bit in terms of direction. Definitely go through the swirl exercises to help reinforce everything!
由 AK 提供May 26, 2017
This was very engaging, however, the level of expectation and effort needed is much greater than course 1 - ToolBox. This is perhaps the best course on R Programming designed for a small duration.
由 BP 提供Jul 3, 2019
This course was almost excellent. The tutorials were amazing. I am just going to complain about Assignment 2; inverted matrices weren't a pre-requisite so it was hard to understand that assignment
由 YZ 提供Jul 16, 2020
This is course is probably my favorite out of the Data Science: Foundations using R specialization. There was plenty of opportunity to practice and further develop by burgeoning R programming skill.
常见问题
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。
