There is much I like about this course and also many areas for improvement. First, the online book that comes with the course presents an excellent overview of the steps required to build an R package. It will eventually get you where you need to go. However, some of the material is now out of date (e.g. functions moved from one package to another), there are no longer any mentors around, and the discussions boards are empty apart from people trying to get their assignments peer graded. Also, the content in the book, while good, is incomplete in many cases. I would highly suggest buying the "R Packages" book by Hadley Wickham as an additional reference since it fills many of the gaps and goes into much greater detail.

good but needs a little updating - several commands this teaches you to use are now depracated.

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...

There are not so mang classmates for peer reviewing. Please set other alternative ways for grading

I finally started building R packages!!! Lots of useful bits

Great course!

The material is not bad, however, this is just a refurbished version of a corresponding book written by the authors. Literally, all the readings are just excerpts from this book with typos all over the place. Save some money and just read that, I think this is a minimal extra work cash grab and you feel that all throughout. The final project is fine but not too fun (and the reading material is insufficient for it), it isn't worth the money either.

Amazing course! Will explain every detail regarding R package creation.

Among the worst courses I have found on Coursera. Once again, just a bunch of text, cut and pasted (sloppily) from their book and other resources. Examples are poor and insufficient, and much of what they ask you to do in the project is not covered well, or at all in the course forcing you to learn on your own. I don't object to self-education, but then, why bother taking this course? Can't believe they are charging money for this.

Nice

The content was good but I have missed the videos. I can read a book, the experience with video demonstrations is better than this aproach.

Poor course material made it difficult to complete the final assignment. The course has little to do with R and more to do with Software development methodologies.

I learned a lot in this course, was difficult at the begininng but enjoyable at the end!

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

Good slow walk through of the process for creating and checking a package

Basic course no more then that

This course really boosted my confidence in writing codes, functions and i look forward to someday writing my own package. The course left me on such a high note that I made a couple of presentations using the plots in my vignette. I wanted to somehow show my appreciation to the authors of the course. The choice of a real life dataset made it really very interesting for me. Here's the link to the presentations i made. I'm not sure if it should be shared with your students, so i'll leave that up to you. Thanks again for making learning so much fun. BTW, it was a bit of a cliffhanger for me. I only got my package to pas travis at the last minute. Here are the links:

http://rpubs.com/DocOfi/350304 and

http://rpubs.com/DocOfi/350099

This course provides useful knowledge in building R packages, as well as opportunities to implement our knowledge. However, as the previous courses in the series, the last module (week) is extremely challenging compared to the previous ones.

The amount of uncovered yet crucial issues is too damn high. For week 4 assignment I did most of my research on stackoverflow.

R packages are essential learning. This class covers packages including documentation, vignettes, testing, building, and checking for compatibility with CRAN. It also gets you into git and travis (for continuous integration), with an entire side of open source philosophy and legal. If you can pass this, you *will* be able to create and maintain an R package.

Great course

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

Overall, this was a good course to learn the intricacies of building R packages.

Good course, but very specialized programming knowledge in this particular course, which was not the case with other courses in the specialization. Would only recommend this course for those with the necessity to build R packages.

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