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學生對 约翰霍普金斯大学 提供的 R 语言程序设计(中文版) 的評價和反饋

4.5
19,268 個評分
4,091 條評論

課程概述

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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WH

Feb 03, 2016

"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!

EJ

Jul 12, 2016

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, and now I have a certificate that says I know `something' about R!

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3701 - R 语言程序设计(中文版) 的 3725 個評論(共 3,983 個)

創建者 Grant I

Jan 22, 2018

As far as learning R Programming goes, this course is ok. When I first took this class I was having a hard time grappling with R. As a programmer who knows C++, VB, Java and Python, I felt it should have been easier to grasp. It wasn't until I started doing research outside of this course that

創建者 Diane K

Mar 18, 2017

As someone with little programming experience, this course was extremely challenging and I don't think the information taught was enough to successfully complete the course. I had to go to another online education source to teach myself R before I could do the Coursera programming assignments.

創建者 Erik A

Dec 23, 2016

Swirl package contents were better than the lectures in the videos. The video lectures introduced concepts without any context, making them difficult to understand. The video lectures also didn't demonstrate anything. The Swirl package was much better at "showing one," "doing one."

創建者 Foong Y L

May 07, 2020

This course requires those who already know how to program in R before taking the course. Although the lessons and quizzes are doable, the assignments are way too hard and is not even covered by the lectures. I had to abandon this course because I could not do the assignments.

創建者 Gemelee H

Jul 16, 2019

The lectures and the book only gave a general overview of what is needed in order to answer the Assignment and the quizzes. This course is only good for getting a general idea of R Programming, but the material is barely sufficient to prepare the learners for actual problems.

創建者 Thomas P

Mar 12, 2018

I think that teaching a bunch of informations in few videos and after that asking the student to directly write a complex code is something that doesn't work. At least for me didn't work. Big thanks to swirl which was the only reason that I learned something from this course.

創建者 Lyn S

Aug 10, 2017

Not bad, but certainly not good. I cannot believe there is a style of teaching where you never get to see the best way to do something. I can slog thru the programming, but I doubt it's the best way to do something, but I never get to see how something should have been done.

創建者 Seyedabbas S

Mar 21, 2019

The lectures are extremely boring! I am just watching them to make them green! I have to watch other lectures and read more by myself to understand the subject. I am sorry to say it that direct, but having a robot reading through the slides would not change anything!

創建者 Ismail B

Dec 21, 2017

The course is not tailored for beginners . The lectures do not prepare you whatsoever for the assignments. If you want to understand half of the material , you need to complement this course with other R learning material online. This course needs a drastic rework...

創建者 Samantha M

Aug 11, 2017

So far I am learning more from the Getting & Cleaning Data course, in a more structured and easier to absorb manner.

The Swirl courses were good; however, these are freely available outside of this course.

The lectures do not seem to align to the course content at all.

創建者 Yu S T

Jul 27, 2020

This course is for people to know about R if you have never used that, Don't take this course.

When I took this course I did not know anything about R, the videos in this course have never helped me. I had to take other basic courses and search the internet to pass.

創建者 Mark B

Dec 31, 2016

Not meant for a complete beginner. I've spoken to a dozen people who have taken this course, and if you don't have some programming skills, you'll struggle. I'm not suggesting its not doable for the complete beginner, but the time commitment may be prohibitive.

創建者 HanYang

Mar 02, 2017

The exams and projects are really really hard and make R newbies, such as I, feel very suffering. And these contents are not connect to the teaching materials closely. I think there is large space to improve this course to make it more accessible and learnable.

創建者 Aazaz A

Aug 01, 2020

The things that were taught in lectures were nowhere close to the programming assignments given. Either update the lecture to match the assignments or update the assignments to match the lectures to make the course friendlier and easier to learn for 1st timers.

創建者 Katherine K

Sep 24, 2017

informative but definitely for people who are far more advanced in background knowledge with R. The professor goes very quickly and the course jumps to new topics without much explanation or guidance. No good way to get help or ask questions if you get stuck.

創建者 Han L

May 14, 2018

The programming assignments are way above the information given in the lecture. Extremely difficult to do for people have no previous experience with programming. Swirl is probably the most helpful element in this entire course regarding learning R.

創建者 Ravindra S N

Aug 17, 2019

I didn't like it. Inspite of having done some courses on coursera(like Machine Learning from Stanford, SAS Programming from SAS) and edx (Python, R), many things went above my head. So I have decided not to pursue this Data Science Course further.

創建者 RODRIGO S P J

Aug 13, 2019

The course content was good. However, assignments were complex and not very much linked to the rest of the content. Alhough it wasn't said in the beggining, I believe previous knouledge on programming or on R itself is needed for this course

創建者 Beverly

Apr 24, 2016

The lectures did not prepare for quizzes/assignments. Not a class for beginners.

It would be better if he used R while lecturing instead of just talking through the whole lecture.

I got more out of the swirl tutorials than I did the lectures.

創建者 Sara F O

May 14, 2020

Firstly the videos and the swirl practice were very good and I leart a lot from them. However, the assignments were very difficult. There is a huge gab beetwen the content of the course and the assigments. This course is not for beginners.

創建者 Andrew C

Sep 21, 2016

Better than the Data Scientist's toolbox, but not a great introduction to R. When I'm learning a new language, I don't want to know about data types and for loops. A detailed example showing the strengths of this language would be better.

創建者 Prasanjeit B

Sep 24, 2018

The quiz were far advance than the material and somewhat disjoint from the topics.The overall lecture is good but not sufficient for learning R, Week 3 and some parts of week 1 could have been explained far more better than it was done

創建者 Josh D

Jun 29, 2017

Far too quickly moves from basics of R to advanced statistical programming. Needs better build up of skills. Swirl was useful, as the videos were essentially unhelpful. Many other better resources on introducing the content elsewhere.

創建者 Jonathan T

Aug 21, 2018

Assignment is way too hard without any guidance - course as mentioned in their earlier lectures are meant to go online and ask. Even so, there is no way for beginners like us to understand what our questions should pinpoint to.

創建者 Sirimedho S D L

Feb 21, 2016

Too short, too simple, too theoretic.

I found of little interest the slides, partially interesting the swirl exercise, interesting the programming assignment.

I would like to have a longer course with more practical examples.