Really out of place lesson set. Could be good on it's own or as part of breakout class. Not the best way or time (in the course of this program) to learn R programming. If you haven't programmed before they start with one simple command and then launch fully into it. It's like trying to sip from a firehose. The rest of the courses are on point and have some great information. There's a sad chance that many will get discouraged/pushed away from Data Analytics because of this R course though. Which is weird, some of the presenters even say they worked in analytics for years before they started/needed to use a programming language to go deeper. The people taking this course aren't going to need it immediately and this should be a high level overview more than a deep dive into deeper R.

wish they teach python instead of R. python is more beginner-friendly than R. and this practice on R is not hands-on enough

This course was where my interest in the entire specialization started to wane. Whereas I flew through the first few courses, eagerly watching videos well into the night, exploring every supplemental reading, and participating in discussions, I had to force myself to stay focused and finish this course. The instructor has little no no personality, and I felt absolutely no connection with her whatsoever. As far as the content itself, I finished the course with almost a type of resnetment for the R language. I know Google didn't create the language, and my opinions of the language can't be related to this course, but it t is an ugly language, that isn't fun to learn. To me, R is much more complex than it needs to be, and it was difficult to learn. There is little regard to consistant or logical syntax. For example, in most programming languages you make an array typing something like "array_example = (1,2,3,4)" but in R you would need to include the letter c, like "array_example <- c(1,2,3,4). Even using the '=' doesn't follow traditional programming practices, you don't use it to assign variables. Also, some keywords in R are required to be capitalized, while others aren't, for what seems like no reason. When you use packages, you need quotes around the name to install it, but not when you load it, etc. I also feel there was very little that was actually "taught" in this course. There were times in which I felt a topic wasn't explained enough, and other times where I felt like the instructor was repeating the same information over and over on the most basic things. The labs were pretty useless. Some of them were literally just opening the program, typing a command and looking at the screen. Very little insight into anything. If the instructor did a better job presenting the material, perhaps it would be easier for me to get past these issues I had with learning R. I think if Google feels that learning R is important enough to dedicate an entire course, than it should have been presented better. Otherwise the entire course should be eliminated, or incorporates into a new course that introduces various other software used to analyze data.

The course is a good introduction to R language, but I assume it is a poor choice to make a course fully centered on R in the certificate track. Nowadays, companies focus more on what you can do and not how. As someone who already uses python for the purpose of this course, learning R was just to now it exists. Unlike spreadsheets and SQL, which are kind of universal, R is narrowed towards its own syntax.

I'm only rating this way because I can't rate the entire Google Data Analytics Professional Certificate. I just wasted 6 months on this course with the promise I could get a job in data analysis. Well, I can crush data analysis! But my lack of background in math is proving to make me unhirable. I wish I'd known this before wasting time and money on this program. Now I'm 6 months behind training for another career.

Poorly structured ,with a lot of missing files, information. For example, i cannot find ggplot_hook file. hands on activities were introduced before we were taught about them. the graded practice is unclear too. i couldnt run the code even though it is right. have to go and read the forum before i realize that we are not required to text in thefirst part of the given code, which is different from theprevious practices.

Tough stuff! Trying to remember the correct syntax for filtering was stressful but I'm so grateful to learn R. Thank you for this introduction. The videos were good but the hands-on really helped me.

Carrie is a great instructor. I had learnt R earlier also but the instructor scared me off from R. But Carrie made learning R a piece of cake. Thanks Carrie and keep up the good work.

confusion confusion confusion

Absolutely the best course in the entire program! Lots and lots of hands-on practice, materials to review, exercises, and more. The instructor was awesome, and every video had something useful and new to learn. This course even does for you what the 'Visualization' course did not: Show you visualization techniques. If anything, this course makes you fall in love with R, and makes you want to go for more.

This was by far the most difficult course in this certificate program. The questions on the final quiz were not very well explained throughout the course, even when I went back to the suggested video/readings for reference. R was tough, and isn't something that I will be using with my current company, so that may have influenced me not being too interested in it. For a beginner course, I felt R was a little too advanced, because even the Google employees said they weren't using it until years into their role/company. Carrie was, in my opinion, the easiest instructor to follow along with and hold your attention. Final thought, the importing segment should have been first and some things that were covered seemed to be out of order by going deeper as you go, instead of jumping around.

The course practices did not work sometimes for me which resulted me relying on other resources to learn about the materials

We're not being taught how to solve similar questions in the weekly/course challenge in the videos.

Questions does not match the content. Rest of the modules are ok except this one.

Carrie's enthusiam for R was contagious. She provides clear and easy to understand explanations, and she is pleasant to listen to. It was easy to follow up. I am myself an R enthusiast now. Thank you!

This course is amazing, excelent classes and resources;

The course needs real exercises in which the answer is not literally written in the question! They need to layer the exercises and include a "challenging" level in which only a general description of a scenrio is provided and people have to figure out the codes themselves. As an example, see how SAS does it in their courses.

A course as long as this one should teach many more commands.

Poorly structured, very fast, few exercises to get used to everything. Instructor shows everything extremely quickly and doesn't explain why something works THIS way and not THAT way.

Excellent course with lucid explaination. The way instructor covers the course makes you fall in love with R. All the topics are covered beautifully. Thank coursera and Google for this awesome course.

Wonderful R programming. I want to learn more.

If I wanted to learn coding, I would take a coding course. This was ridiculously hard to follow and was the final nail in the coffin for a certificate that has been nothing but a waste of time and money. I learned absolutely nothing in this course because I have ZERO interest in learning to code. I will NEVER again take a Google course! All they do is try to push their software onto you and make you create accounts with various websites. I could not learn R because I refused to install their software--software I will NEVER use again! I don't understand why they are trying to teach the most difficult programming language with this certificate. I certainly hope Coursera's Quickbooks course is not as useless as this has been. So much for getting my data analytics certificate.

Great introduction to what you can achieve using R. The course material is logical and well though out and the provided links to additional resources are useful to supplement your learning further.

If you teach a programing language, you need at least an email for a real person that can help you to get answers to the questions that you ask. I had to take the test 6 times and I was using the correct code, I cross referenced at least 3 times to the coursera site, and other R programing sites. The only piece of code that would work on those questions was str(). I felt like you designed it so that we would experience as many errors as possible so that we got as frustrated as possible and give up. I HATED this course. It needs alot more student support and help, and it needs programing questions that Actually WORK.

Best one for beginners

This course offered a good amount of opportunities to practice programming in R. In my opinion, it was not a hard course because I have experience programming in Python, so it wasn't hard for me to grasp the concepts. But if you're completely new to programming, I would suggest taking a supplemental introductory course in R because they do move pretty fast. To a total beginner, this course might be a little overwhelming. It will also be easier for you to understand what is being taught in this specific course. Overall, I think this course is pretty good in teaching the basics of data visualization R and data frame manipulation in R.