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 poor explanation skills

banana

First off, how do you get off teaching a class with an R specialization without even explaining some of the most basic operators and functions of R first? Or barely teaching R at all when the name implies you will learn a lot of R. Well they've managed to do it here. As a result, I had to dig around the internet for several days to learn some of the core functions of R that should have been taught by this class. While we are on that subject, I wasn't taught anything that I actually wanted to learn R for...things like the t-test, ANOVA, CFA, etc. Instead you just learn how to do random stuff like pnorm functions and how to filter variables (or how to run dplr without explaining why the piping function '%>%' matters). As much as its good to brush up on the basics like histograms and boxplots, the core tests that are extremely common and useful to learn are to my great amazement missing. Idk how you can run a stats course without even a single explanation of a t-test. During the various times I was confused by the teaching, I would normally refer to my book, but the book chapters they give you literally never align with what you're learning that week, which is astounding given the whole point of a book is for reference. I checked to make sure I had the most recent book, and even with having the most up to date text, its completely disconnected from the video content. You're better off just Googling and YouTubing whatever you wanna learn (which is basically what I did since it was free and much easier to understand).

Avoid, this is a crash grab. The instructors don't seem to know a whole lot of R, or are unwilling to teach what they know. Making the labs work is a hassle on itself, not to mention the final assignment outrageous demands come out of nowhere and blindside you.

The introduction of R to the statistics and probability subjects is shallow at best. To learn the same amount of statistics and R on this course; a good textbook, some videos and a tutorial on R will give you better results on a fraction of the time.

The language used on the quizzes and labs is obscure to say the least. You have to navigate through what feels like booby traps in the hopes of figuring out what you're supposed to answer, not to mention the multiple choices are trap them selves. On the quiz feedback it actually said several times, things like: "Although this is partially correct, this other answer is more correct."

The quizzes took me back to my dreaded time in university where the teachers were out to fail you. Allegedly the instructor has a PhD and focused on pedagogy, to be honest I didn't feel this pedagogy approach anywhere and more like a padded resume.

By the textbook it appears to be a very vanilla Stat 101 course, chapter 2 of the textbook did cover some conditional probability and Bayes theory otherwise very similar to stat 101 course I took in 1978. In other words, not exactly 21st century data science. Taught at high school / college freshman level (one of the exercises was writing mean and standard deviation with Greek letters -- pure busywork). The textbook inaccurately described a data set with several different data types as a "data matrix" a word usage that conflicts with both linear algebra and the statistical language R. This course is an obsolete and lame intro to statistics; I would recommend instead either Stanford's Introduction to Statistical Learning or the Coursera's Data Science Specialization.

The labs are terribly written. The instructions don't work in many cases. Even if they did, they assume a fair amount of prerequisite understanding of RStudio. Also, several quiz questions are written incorrectly. There were cases where I had to assume what I thought the question meant, even though the opposite was written, and I was marked correct (proving the question was written incorrectly). I have a statistics degree and have used R in several past projects, so I'm not just complaining out of ignorance.

I've been trying for a week to get the RMD file "intro_to_r_Coursera" working in RStudio. The instructions provided are not clear as they include a multitude of options for errors, errors that really exist. It is not a beginner's course in R. Make an effort to provide code that works without errors. If other universities get it, you can too. Try it! My time is too precious to waste on this project. Never again a Mooc on Duke University!

Before assigning such a tough project in week 5 using R, the course should have dealt with R more thoroughly along with theory about probability. Week 5 mentions project to be of 2hrs, but it took me 1 week to understand R all by myself and then complete the assignment somehow. I would say, i chose the wrong course. Highly dissapointed. Should have opted some other course to learn R in depth.

The very first setup of R packages is broken. I paid $49 dollars because I waited 2 days past the 7 day free trial. After spending hours reading through the forums of many people having many different configuration problems, it is clear that the content creators should have fixed these issues on their end. Instead they leave students to figure it out.

T​here is no support from Duke with the practical tasks using R. In fact, their cloud environment no longer supports additional projects to be created. The team doesn't anwer student questions. The only positive thing about the course is that their recommendation for an open source statistics book - that one's worth reading.

While the videos and quizzes were easy to use, I had extreme difficulty using the DataCamp and could not find any tutorials that would answer my questions. Also, am unable to complete the course because of technical difficulties with RStudio. The course should have more online resources for those with little experience.

For Beginners, it is very difficult to understand the mechanism of how R works without the video guidance. Though reading is available, but it does not give a good understanding due to the complexities of R.

thanks for your effort to make videos, but this is the first time find a class that i can not submit my answer to check if it is correct or not before my account is upgraded. Disappoint to Coursera and Duke.

h​ow to unenroll the course? Other courses have a three-dot button from which I can choose "unenrol", but I cannot do the same in this course, all I have is to "rate the course", which I did.

The course was not very helpful for me, as practical cases with R were poorly developed and the final data capstone project is badly formulated which makes it extremely difficult to pass.

This course is too theoretical and certainly not helpful to learn the R language. Better to watch free youtube videos on Stats and R. Just avoid this one.

Explanation of how to download the packages and do the Knit thing did not work for me, so I searched for a course explaining better

The lab instructions are terrible and the code used for this course is dependent on software libraries that are out of date.

Although the course is alright but the focus is not on R. Thus, the course is not suitable for people who want to learn R.

I have to drop this specialization because the so called 'nycflights' data set doesn't exist. What a waste of time

Speed is very fast for a basic level student. The data explanation and correlation demonstrated is not clear.

There's no point in auditing the course since you don't get access to the answers

the introduction with R is extremely confused for someone who is from scratch