Home / r&d là gì R&d là gì 20/07/2021 In this course you will learn how khổng lồ program in R & how to lớn use R for effective data analysis. You will learn how lớn install và 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 lớn 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.You watching: R&d là gìSubtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, English, Spanish, JapaneseSubtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, English, Spanish, JapaneseThe mission of The Johns Hopkins University is to educate its students and cultivate their capađô thị for life-long learning, to lớn foster independent & original research, và khổng lồ bring the benefits of discovery lớn the world.This week covers the basics khổng lồ get you started up with R. The Background Materials lesson contains information about course mechanics & some videos on installing R. The Week 1 videos cover the history of R và 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 to ruin the story. Welcome lớn Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics lượt thích control structures và functions. We also introduce the first programming assignment for the course, which is due at the kết thúc of the week.We have sầu 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, và so they are commonly used in practice.See more: Cocain, Thuốc Lắc, Lsd Là Gì, Thuốc Gây Ảo Giác Và Ảnh Hưởng Của Nó Thế NàoThis week covers how khổng lồ 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 & lớn 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 sầu is the most useful function in R.Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to piông xã up in this class. Assignments were a challenge, but satisfying to tackle.Really interesting course. The interactive sầu coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.See more: Sự Khác Biệt Giữa Psychopath Là Gì ? Sự Khác Nhau Giữa Sociopath Và Psychopath?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, & now I have a certificate that says I know `something' about R!"R Programming" forces you lớn dive in deep. These skills serve as a svào basis for the rest of the data science specialization. Material is in depth, but presented clearly. Highly recommended!Access to lectures và 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 miễn phí. To access graded assignments and to earn a Certificate, you will need to lớn purchase the Certificate experience, during or after your audit. If you don't see the audit option: The course may not offer an audit option. You can try a Free 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, and get a final grade. This also means that you will not be able lớn purchase a Certificate experience.