The week 5 is very hard to accomplish.

Don’t like the last section

disappointing final test

its perfect for start

Good for a beginner.

The course instructor is EXCELLENT! She does a fabulous job of explaining everything thoroughly and uses good examples to do so. She makes understanding probability and data easy.

I rated the course low because of the instruction in R and required use of R. I wanted to learn R's basic commands but this was almost impossible. The instruction we received in the course with respect to coding in R was entirely insufficient to be able to complete the extremely long final project (the supposed two-hour project took me 13 hours). The coding no longer works (R code changed since the videos were made). Also the final project data set was too large to be used in the workspace provided by Coursera, and crashed my computer every time I tried to use it. Filtering and selecting did not work to limit the data set either, as both those functions caused R to shut itself down. I planned to continue on for more of this series because the instructor is so great, but I cannot deal with R so will not be continuing.

I honestly can't recommend this course. The coverage of statistics was fine, and the labs were sufficiently clear, but the final project suffers exactly the same critical flaw as so many other online courses: after a limited exposure to a tool, the student is expected to use that tool in a context that is so different that the original classes are all but useless. In this case, where RStudio worked flawlessly and effortlessly on clean data, the final project doesn't use clean data.

If your goal is to learn statistics without a particular software package, look elsewhere.

If your goal is to learn R & RStudio, I'd have to suggest a more rigorous, step-by-step approach.

I reviewed many concept which I am grateful for, but several thing need to get better. First, all over the course I was waiting to hear about p-values more, as was promised first time but got nothing more on the videos. Second, many question were asked on exam about the material in the book that were supposed to be optional. Third, final projects includes a huge data file which my laptop suffered loading in RStudio every time. If the it is meant to evaluate the students knowledge, a much smaller data would be enough as well. by the way, I appreciate your endeavor.

Content is not bad. However, peer review system for final project is not great. I had to wait for other students to review mine and wait for other students to submit theirs. How long this is takes is largely dependent on how many students are currently taking the course (which was not enough and so I had to wait). This kind of system for marking should not be done for online courses where you cannot guarantee there are enough users always taking it at the same time. Especially when there are paying users that may have to pay an extra month whilst waiting.

It is a basic level course and I was expecting I will be taught how to use R studio or basic R functions. But instead , difficult R exercises were assigned without prior knowledge/teachings of R. I had to struggle a lot in completing the assignments.

regular course content was fine for a refresher. what I really wanted was the intro to R. the lab, however, was the WORST. I ended up going to YouTube to figure out half the stuff I needed to do. Why am I paying for that? I was really poorly done.

Statistics part is fair enough, but R part is absolutely not.

Giving the document of R does not mean teach you. You even have to make a difficult R project in the end of the course, but without any tutorial or example to make so.

The course materials (book & lectures) are clear enough, but the introduction to and support for using R/RStudio is completely lacking. Unless you already know R/RStudio, steer clear of this course and find another.

The Statistics lecture part is great, but the R Lab part is not for beginners. I thought I could survive but I eventually gave up. Please don't take this course if you have zero knowledge of R!

Suffered a lot of difficulties with the various material provided as they contain a lot of problems. Data does not load properly for labs, errors in code etc.

Problem is the OpenIntro Statistics 3Rd edition is not available. So Learning Objectives are not possible to follow since 4th edition is not same as 3rd.

The book is very good at explaining the concepts clearly, the videos are too confusing, therefore, we must focus on the content of the book.

I think that the teaching and tutorials in R should have been included instead of letting the student figure out all the R coding.

Learning the R part in lab is too confusing and frustrating to learn everything on my own without any guidance

The course is not beginner friendly especially the labs and it contains a lot of calculations.

The teachers dont focus on teaching R , but rather on only the basics statistics.

Mediocre. Not much in the way of help for using R

very confusing use of the laboratories

Very poor explanation skills

banana