R Programming
link 来源:www.coursera.org
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assignment 等级:中级
chat_bubble_outline 语言: 英语
language 字幕 : 阿拉伯语, 法语, 中文, 越南语, 日语
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关于内容

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.

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课程大纲

  • Week 1 - 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 descri...
  • Week 2 - 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.
  • Week 3 - 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 a...
  • Week 4 - 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 addresse...
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教师

Roger D. Peng, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health

Jeff Leek, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health

Brian Caffo, PhD
Professor, Biostatistics
Bloomberg School of Public Health

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内容设计师

Johns Hopkins University
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.
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平台

Coursera

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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3.7 /5 平均值
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最佳评论

This course will teach you a lot but it is very difficult. The programming assignments are very challenging. I would not recommend this for someone who has never used R before.

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发布于 2018年3月3日
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发表于 2018年3月5日
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In this course, a tutor should explain what is rnorm and how their values are distributed and also assignments are way much harder for beginners. we cannot even have an idea how the particular function should be created.

发表于 2018年3月5日
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good course, But I would like to see something approaching codding more like production, or even projects, real life projects to in.

发表于 2018年3月3日
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This course will teach you a lot but it is very difficult. The programming assignments are very challenging. I would not recommend this for someone who has never used R before.

发表于 2018年3月1日
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Its really well concieved. I didn't have to have past experience in statistics to learn R, yet since I do have some background, it was fun to mess around with it.I learned enough to get me started with R. Thank you very much.

发表于 2018年2月27日
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Though I have learned R for 5 years, I still found some very interesting contents and insight opinion, by the way, all the mentors of this course are very professional and accommodating.