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Opiniones y comentarios de aprendices correspondientes a Building R Packages por parte de Universidad Johns Hopkins

4.1
estrellas
219 calificaciones

Acerca del Curso

Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN....

Principales reseñas

KM

3 de jun. de 2019

Fantastic course... Unfortunately, not too many people registered, it's tough to get your assignments graded. The program is the great continuation to the 10 course R data science specialization...

M

10 de jun. de 2022

Useful programming exercises to guide learning the basic elements of R packages. Also glad that I got my assignments graded within a week following submission (thought it would take much longer).

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51 - 58 de 58 revisiones para Building R Packages

por Kevin A

1 de jul. de 2017

It was a very challenging course at least for me but i think it is not necessary.

por Krzysztof K

22 de jul. de 2021

OK but really basic

Outdated materials, like those related to travis and devtools

por Igor P

25 de ene. de 2018

Basic course no more then that

por Mohsen S

23 de ago. de 2022

(1)-This course materials need despertely to be accompanied with tutorial videos. I used several tutorials videos on youtube to grasp on concepts and figure out the building R packages process. (2) Also, Travis CI badge is a problem . Most R developers now recommend R-CMD-check badge from github that is much more eefective and free. (3) There are ery few learners in th course and this makes grading too long. Needs more attention.

por Mai A D

19 de jul. de 2017

The materials is not logical and not enough. It makes a lot of difficulties for the learners, especially through self-learning and online learning.

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 Maurizio C

12 de oct. de 2017

Great gap between teaching and what is required to pass the course. Unnecessarily difficult. Not recommended.

por Jose V D

18 de nov. de 2016

Just reading. There are not videos.

You are not allowed to submit the quiz if you do not pay.