Don't take this course unless you have a programming background. Week 2 has a programming assignment that is way to advanced for students without any programming knowledge. This assignment deals with functions, where the code is complicated. What's unfortunate is that you have to finish ever assignment, including this impossible assignment (for beginners) to get recognition for the course. I spent most of my time researching other sources for information because the lectures, and the supplemental information given on a different site, by the instructor (which indicate knowledge that the lectures are insufficient) give trivial examples when the programming assignments are anything but. This course needs some serious adjustments, either with the prerequisites needed for success in this course, or with the material within the assignments themselves.

Coming from a PhD student who is by no means dumb, this course is terrible! Too much theory with little to no examples/sample exercises. You will see a symbol once and expected to remember it for future assignments. Speaking of which, the assignments are 10 times harder than the theory and examples shown. If the lectures talk about doing something with a vector of numbers going from 1 to 10, the final assignment will ask you to do that same thing but with several different data files with their own rows and columns of data. You're basically being asked to swim (not even run) shortly after being shown how to crawl. Terrible experience and I would not recommend it to anyone who cannot pick up on this stuff quickly. My main regret is I quit few days after my monthly payment so unfortunately that's money I'm never getting back.

there is a huge distance between what you teach in the videos, which is fine, and the programming assingments which seem to be apt at an expert audience.

to solve these problems I have to spend hours and hours on the internet looking at other people doing similar projects or asking for help.

I agree that by looking you can get insight into what you are doing, but the lessons need to be built little by little and supported by practice.

You can't slam me with these cache problems giving me an example that is hard to understand (much harder than anything seen during class) and expect me to do it in 5 hours per week. Maybe 5 hours per day.

Disappointed. I wanted to use the whole course to learn about rprogramming but I will most likely try to get back the money I spent on this and let it go.

The video lectures will help you to pass the quizzes, as they are primarily theory and background. The lectures will not, however, aide you in any way in completing the programming assignments. The first programming assignment is extremely difficult and very little is done in the lectures, the textbook, or in swirl to pull all of the pieces together prior to the first programming assignment/quiz. There are so many disparate concepts, that it would be nice if the instructor could at the very least, demonstrate a full analysis of some kind of tabular data in R. How to properly import the data, create the file, structure the data, and then perform some analysis. These concepts are introduced throughout the course, but never brought together in one complete project.

I managed to complete this course, but that was because of my four years of "MOOC-level" "programming experience" and duckduckgo (~google), not because of the course material. Videos are dull readings of the pdfs, with many "ummmm"s and annoying lip-clicks. Examples are useless, explanations are often vague or even incomplete. The assignments are relatively hard in that you don't get all the necessary info from the course, sometimes even R's own manpages aren't enough. (Which is a shame, as you'd expect a course to teach you how to use the tools you will need for the assignments.)

If you have no programming experience, stay away from this course!

Otherwise, if you want to learn R, look for other resources, and save yourself some time and money.

The course is totally poorly structured. The classes are very basic, the swirl exercises give a good insight, but the assessments are on a totally different level. Much of what is needed to solve the assessments is not taught in the course, so why take classes?

Much of what is needed to solve the assessments is not taught in the course, so why take classes?

Muito do que é necessário para resolver as avaliações não é ensinado no curso, então por que fazer aulas?

Much of what is needed to resolve the evaluations is not taught in the course, then, to have the classes?

Muito do que é necessário para resolver as avaliações não é ministrado no curso, então, para ter as aulas?

Although the information on the course states that it requires no prior programming knowledge, that statement isn't accurate. You will quickly become lost in the assignments and questions as they are a not a logical progression from the lecture material. The instruction from Mr Peng is all over the place and doesn't give you a good understanding of the language. I found SWIRL to be 100% more helpful. But looking at the upcoming materials, you need to have a solid background in programming to complete this specialization. Which SHOULD have been told to students prior to them spending money on the course. I would NOT recommend this course to anyone.

Videos are poorly narrated and are marginally effective: vocabulary + key concepts only. The "swirl" exercises are woefully inadequate to prepare students for the quizzes. Foundational tasks (i.e. establishing a valid connection to the sample data) are conspicuously absent from the guided exercises; leaving too many students to seek help from message boards and google. Lastly, the "professors" are completely unreachable: they may as well be dead. After 30 years in the IT industry, I found this course to be profoundly aggravating and a complete waste of my time - I have abandoned this course and bought a "Teach Yourself" book instead.

The disconnect between the videos, the swirl assignments, and the actual homework is ridiculous for a beginner level. The videos usually involve the professor reading straight from the slide, using vague, theoretical examples that often have no context to real-world problems, and/or use functions and structuring concepts that don't get coverage until lessons later. Ended up having to google most of what I was trying to do to get a simpler, applied example of the concepts. Some of the shorthand for contracting expressions in the video examples wasn't very clear. The course also assumes you're familiar with certain statistics terms.

If you enjoy floundering helplessly and feeling incredibly stupid, this is the course for you. Expect a few slides on basic concepts (all of which you need a VERY large screen to read because they seem to all be in 8 point font), and then get flung full force into coding. There are no worked examples. You might as well just buy a Reilly book. My partner and I both wanted to learn R for econometric analysis. He can do more after a 1 day seminar than I can do in a month struggling with this course. I had considered pursuing a graduate degree at Johns Hopkins, but if this is the level of instruction I can expect, then no chance.

I have few observations -

R tool - Outstanding

Swirl packages for self practice - Outstanding

Assignments - Outstanding except Lexical Scoping

Assignment (Lexical Scoping) - Even , completes it in R, the real challenge comes to extract from github, which is really time taking and tedious task.

Since I am not an engineer or any background in any programming language, I found it difficult to understand it from lectures. There are so many missing links. Or may be the course is so crisp.

I watched multiple youtube videos to understand all the theories side by side.

The course could have been framed in little better way.

This is not for beginners!!! This is one of the first courses I tried to take 3 years ago when I just started learning and it was so discouraging to have to quit it. Students cannot be expected to complete assignments with the tools they are taught in the lectures. This course is good for those with at least a year of casual experience with the language, and just want a guide on topics to learn. You will have to go and learn them somewhere else (forums, stackoverflow, etc.), but the course makes you learn them. It is for a more experienced user who knows how to find resources and learn on their own.

not the model of learning that is encouraging or sticks. hard for a student (even one who has a programming background) to sit through hours of slides explaining what the functions and definitions in the language do without a layer of use context upfront.

The content jumps from specific examples to unrelated specific definitions without carrying a sense of integrating the new knowledge with any past knowledge in the course. the whole course seems disjointed.

would have been much more effective as learning through examples and to be taught functions and definitions as they come up in problem solving.

The lectures and Swirl exercises are extremely easy to understand and follow, but then the assignments are incredibly complicated and difficult. The assignments ask for techniques that aren't focused on or even covered in the lectures. The tips offered by Al Warren in the Discussion forum make the assignments possible to do. Since the tips are so critical to understanding and completing the assignments, I think Al Warren's tips should be incorporated as part of the core course. This course needs more time to be covered in depth - it's a lot of ground to cover in just one month,

Course does not do a good job actually explaining R or training you on how to properly use it. The lectures go over the material very fast and you do not get much out of them, and then the assignments throw complex problems that are very difficult. You spend most of your time Googling to learn it, and I find that I would have learned R better if I just did that to start without this course. Maybe if you aren't new to R and have a programming background, it may not be so bad, but if you are new to R and not an experienced programmer, this is not the class to take to learn it.

Firstly, the level of assignments which are given are vey tough. This is due to the fact that the topics that are taught in the videos are of amateur level and the assignments are more than advanced level. No link between what is taught and what is asked. I am new to programming and i dont think person like me would recommend other to take this course. Even guys who has background in R would find this tough. I spent more time reading blogs and discussion forums than time spent on watching the course videos. WONT RECOMMEND TO OTHERS. STRONGLY UNSATISFIED.

i generally think the course needs a lot of improvement as after week 1 the assignments and quizzes don't seem to relate to the course content. we are at very different levels so a more gentle easing and explanation of ideas is necessary other than this apparent quantum leap from one stage to the next. i have had to do a different course else where and i am getting the sort of good introduction into the R language, its not practical to expect everyone to understand the ideas in 4 weeks.programming is hard enough as it is.

Would not reccomend for someone completely new to the program of R. Course is just an hour or more straight of videos covering an expansive number of topics and then a quiz that expects you to remember everything in the videos from hours ago. There should be exercises throughout the course to break in between the videos to reinforce concepts and help you learn as you go. I ended up spending much more time than need be trying to go back and figure out what video each concept needed for a question was covered in.

This course is outdated and the fact that they don't teach you essential libraries like diplyr, tidiverse and ggplot2, makes it harder thant it should be. Learning R should be fun and easier by learning this powerful libraries. Also the lectures are just plain slides with little to no value. They won't teach you the tools you would need to do your assignments so there is a huge gap in difficulty between the material of the courses and the assignments. This is a big struggle for newcomers into R.

Just use the swirl() package on R to learn - the lectures here go too much into irrelevant theory (why teach the history of R for a whole lecture, then only teach us in a minute how to read a file?) Debugging is also talked about at length, and then never tested nor mentioned again.

The assignments provided are also way more advanced than any of the quizzes or practices prepare you for. I spent more time looking up things on youtube, so you might as well learn for free there instead.

I somewhat resonate with the content expressed in the blog:

https://www.quora.com/What-is-your-review-of-Coursera-Data-Science-Specialization-Track

1, Not Beginner Friendly, better you are already in the position of Analytic field, Statistician,

2, Instructor read out the slide and I don't feel connection in learning, I resolved to other website for better understanding.

3, However, I would give credit to the only mentor (Len), who is really helping, explaining things in simple way.

Exceptionally bad course and worse instructor. I started this course with lots of interest in R and the way it is taught has made my interest much less now. Why is that?

the way videos are explained does not mean anything, It actually makes it harder to understand. the course assignments are very hard and one cannot do unless one learn on his own. Here is the catch the learn on your own is also not explained in the course. The only good thing about the course is the swirl().

R Programming

Week 3

Peer-graded Assignment: Programming Assignment 2: Lexical Scoping

In the peer-graded assignment is requested to completed an exercise using an operator never explained in the lectures, nor in the texbook, nor in the swirl package.

I don't like this learning method having very light lectures and heavy assignments, this is not the way I like learning as I find it very frustrating not to be able to complete the assignments using the material just learned.

The speaker has his microphone far too close to his mouth so you can hear any(!!!) noises he makes (and he does it a lot!). Further he uses a lot of non necessary commands he does not or just sparsely explain. this would be okay if he wouldnt slip every second sentence or repeat one word several times. He also does not execute code, so you can't see, what the code actually would do. some youtube videos guided me much better than this through basic R. Sad.

This is way too esoteric. The content was delivered way too fast for me to keep up and process it. This needs to be taught with more frequent hands on examples. I'm also not sure why, if auditing, we can't submit and see how we're doing on the learning. I have no way to evaluate if I'm picking up the concepts or not, which is a struggle. Overall, I would not recommend this course for R beginners. I would look elsewhere.