R&b nguyễn tri phương

In this course you will learn how to program in R & how lớn use R for effective data analysis. You will learn how to lớn 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 & commenting R code. Topics in statistical data analysis will provide working examples.

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Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, English, Spanish, Japanese
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, English, Spanish, Japanese
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The mission of The Johns Hopkins University is lớn educate its students & cultivate their capacity for life-long learning, to lớn foster independent and original research, và to bring the benefits of discovery to the world.


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 và writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going lớn ruin the story.


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.


We have now entered the third week of R Programming, which also marks the halfway point. The lectures this week cover loop functions và the debugging tools in R. These aspects of R make R useful for both interactive work & writing longer code, & so they are commonly used in practice.

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This week covers how to lớn 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 và 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.


Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.


"R Programming" forces you khổng lồ dive in deep. These skills serve as a strong basis for the rest of the data science specialization.Material is in depth, but presented clearly. Highly recommended!


Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me khổng lồ pick up in this class. Assignments were a challenge, but satisfying to tackle.


Excellent course! I already knew a lot about R - but this class helped me solidify what I already knew, taught me lots of new tricks, và now I have a certificate that says I know `something' about R!


Access khổng lồ lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able khổng lồ see most course materials for free. Lớn access graded assignments và to earn a Certificate, you will need lớn purchase the Certificate experience, during or after your audit. If you don't see the phân tích và đo lường option:

The course may not offer an audit option. You can try a không lấy phí Trial instead, or apply for Financial Aid.The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, & get a final grade. This also means that you will not be able lớn purchase a Certificate experience.