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學生對 约翰霍普金斯大学 提供的 Building R Packages 的評價和反饋

4.1
215 個評分

課程概述

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....

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KM

2019年6月3日

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

2022年6月10日

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 - Building R Packages 的 57 個評論(共 57 個)

創建者 Krzysztof K

2021年7月22日

OK but really basic

Outdated materials, like those related to travis and devtools

創建者 Igor P

2018年1月25日

Basic course no more then that

創建者 Mai A D

2017年7月19日

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

創建者 Savvas S

2017年8月28日

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

創建者 Maurizio C

2017年10月12日

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

創建者 Jose V D

2016年11月18日

Just reading. There are not videos.

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

創建者 Tim S

2018年2月12日

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