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Avis et commentaires pour d'étudiants pour Building R Packages par Université Johns-Hopkins

4.1
étoiles
214 évaluations
57 avis

À propos du cours

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....

Meilleurs avis

KM

3 juin 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...

ME

15 janv. 2017

Very good course for intermediate/advanced R users. Sad that you are elegible to do assignments only if you pay.

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51 - 56 sur 56 Avis pour Building R Packages

par Igor P

25 janv. 2018

Basic course no more then that

par Mai A D

19 juil. 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.

par Savvas S

28 août 2017

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

par Maurizio C

12 oct. 2017

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

par Jose V D

18 nov. 2016

Just reading. There are not videos.

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

par Tim S

12 févr. 2018

Iam actually waiting for over one week to get graded. I dont want to pay for waiting!