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Voltar para programação R avançada

Comentários e feedback de alunos de programação R avançada da instituição Universidade Johns Hopkins

551 classificações
137 avaliações

Sobre o curso

This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team....

Melhores avaliações

11 de Fev de 2020

Brilliant course. Loved Week 4 for OOP. This was really new for me and would love to have been able to see its application in real world examples to better cement the concepts.

6 de Jun de 2017

Very useful, I considered myself quite an advanced R user, but this class raised the level, especially with the R as OOB part. Good investment if you are not a beginner.

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101 — 125 de 133 Avaliações para o programação R avançada


29 de Out de 2017

Need to have more visual approach to the course.

por Abhishek Y

7 de Jul de 2017

The swirl course is very helpful.


2 de Dez de 2017

Good course

por Kevin A

2 de Jun de 2017


por Sven K

11 de Abr de 2020


por Ravi P

8 de Mar de 2020

The forum for the final week has everyone asking each other to review their assignment because it doesn't get done. There might be something broken with the system here.

With regards to content, it would probably be better to just read Hadley Wickham's "Advanced R", and "R Packages", and "ggplot2" for this whole specialisation. In fact, I wouldn't be surprised if the material for the specialisation was just taken from these 3 and "R for Data Science", and then compressed to make it easier to digest in 4 week chunks.

It was ok, so I'll give it 3*. But there could've been more material here. It didn't feel "Advanced" to me.

por Jessica G

7 de Mai de 2018

Like the first module in the specialty, this one is riddled with typos. Some of the examples could have been a little more detailed or just more examples given. Again, some of the swirl assignments were just walking through the readings. The topics covered here are more advanced, but I feel like I just read an online tutorial and didn't really take a "class".

por Chao G

24 de Mai de 2019

The quality and the difficulty of this course is really good. It would even be better if more advanced topics are covered in details (e.g. AST, substitute function). However, the peer review assignment could be a pain since sometimes you do not get helpful feedback. Occasionally there are not even enough students to grade your assignment.

por Rebecca G

23 de Jul de 2017

This course was not great. Almost all of the information is a screen scrape from a book and peer-evaluation, so you may be better off just getting the book and going through it. The mentors very occasionally participated, the authors never. The assignments are poorly written and missing too much detail.

por Min P

13 de Jun de 2020

This feels like self-study rather than being taught.

Despite the reading material is self-contained and well-organized, peer-graded assignment doesn't look good, though.

Getting attention for it to be reviewed is a hassle.

por Raw N

30 de Mar de 2017

WIsh there were more assignments. The final project was the only assignment in the course. Object-oriented programming in R requires more than a single assignment to grasp- even at a superficial level.

por Pranav G G

20 de Mar de 2017

To complete this course you have to go back and forth for the basic. Also the final assignment is bit ambiguous, more clarity is required.

por savinay s

29 de Mai de 2018

It is a very good course but many a times the concepts which are used in assignments are not even taught properly in the course.

por Amirhosein V

9 de Jan de 2018

In comparison with the first course, it was not so useful. The main reason in my mind is that there was no video.

por Landry N E

20 de Ago de 2018

The style of these courses is not engaging. This is self study, similar to getting a book and reading.

por Justin S

30 de Nov de 2020

The project object oriented programming was uninspired to say the least. Creating a special class for "Longitudinal Data" seems to me a pointless exercise since a simple dataframe with a column named "time" or something to that affect would suffice. Also, regarding the benchmarking portion of the project, the description of the file factorial_code.R to be submitted was obviously copy/pasted from the OOP portion of the project as it nonsensically refers to "Longitudinal Data". It's easy to spot the error, but you really need the correct text in order to fully understand what you're supposed to be submitting. I submitted blindly and got credit.

The textbook is useful and worth it for $10, but has a lot of typos.

por Nynke N

29 de Ago de 2020

I found this course a bit disappointing. There wasn't much content, no lectures or anything, it was just the book copy-pasted into a course. The final assignment was rather vague, and the course materials didn't prepare you quite enough for it. The peer grading was frustrating and took multiple days of waiting. This is especially annoying in a course where the payment is on a monthly basis: waiting for your grade might mean you have to pay for another month of subscription. I'm cancelling the specialisation and continuing on my own after this.

por Alvaro P R

30 de Abr de 2017

This courses touches many interesing aspects about R programming but I did not like the structure , it does not seem to me that it adequates its difficulty coming from "The R programming enviornment".

Also I miss some swirl lessons for many of the readings from the book. There are not too many help from the mentors and the peer assigment in week 4 took me too much time and had to consult a lot of external resources. Readings in general are OK but too simple.

I have learnt many things but

por Arthur G

20 de Jun de 2017

The topics are good, but very little practice of creating classes until the final quiz, which expects you to understand it completely without having done any practice.

por James M

12 de Dez de 2017

The Object oriented programming section did not provide an adequate amount of support for the assignment, compared to any of the other parts of the Course.

por Savvas S

28 de Ago de 2017

just links to a webpage... no support from the mentors no support form coursera... you can use your money more wisely..

por Jessica K

3 de Abr de 2019

A bit too tough with not good enough teaching to truly understand the course

por Mithesh R

14 de Set de 2019

difference was observed in final test and study material.

por Randall M

28 de Fev de 2019

"Advanced" is not really accurate. "Intermediate" is a better description. I would have given 4 stars for content alone. The faux testing and peer grading at scale doesn't work well enough, so the certificate is not worth paying for. If you need a credential, enroll in real school. If you need a decent intro to intermediate programming topics in R, this is pretty good. The text for the course is excellent and worth purchasing. The programming exercises via swirl() fail at times, and peer grading as an assessment approach is not viable at scale.

por Julian C

13 de Jan de 2021

If you're relatively new to R coding and coming straight from the first course (R Programming Environment), prepare to expect the same thing... Very easy activities and a lot of reading, and then an incredibly difficult final assignment which only a small portion of the reading actually prepares you for. Researching the methods/code necessary to do it is possible do get it done but I honestly feel that I haven't actually learnt how to do it... I've done it once and if you ask me to do something similar again, I'll struggle, again.