While it's amazing to save costs and resources by creating automated voice-overs, it would be helpful if commands on the screen match what is being said. It was quite challenging going back and forth between lecture videos and lecture notes to copy and paste commands. I find it time-consuming, and I hope this problem can be rectified for future classes.

I have absolutely no idea how could this become a separate course - and one spread over 4 weeks. It is extremely basic, extremely general and extremely high level. It should be compressed to 1-2 hours and added as an _optional prerequisite_ to other courses in this specialization. I personally feel cheated out of my 29 USD.

0.1 star.

They charge you to take a class that explains how to install a few programs. If you go to the program's websites, there is directions to install it anyway, so this was completely unnecessary. Waste of money. This class should give you some early training on R before throwing it at you in the next course without enough training.

The videos aren't videos, they are really boring slide shows. On top of that, the computer voice is really monotonous. it just keeps going and going. This approach to teaching has been a large disappointment for me. So in short this class is dull, tedious, and repetitious, and all-around lacking in variety and interest.

Worthless course. There should have been no need for this course and the fact that they charge money for this is disappointing. This module could have been easily merged with the next module (R- Programming). Just a few pages with instructions on how to install the required softwares and repositories would have sufficed.

I don't have comment on the data scientist's toolbox. However, the payment mechanism of coursera is terribly designed.

I was continually paying the course without pre notice. The worse thing is, the coursera doesn't return the money after I cancel. At the same time, they don't allow me to enter the class. Really terrible.

This course was a loss of time and money. Except from week 3 material, the rest can be found on the internet and should be required by everyone who wants to take that specialization. This course doesn't worth it, it's just to take extra money from anyone who wants to learn about Data Science.

I had a very bad experience with this whole course set-up. Especially the peer-grading, you have no insight on why they assigned this score to you - nothing.. ..especially when you know you did your course work correctly.. i will never come back to coursera.. waste of money !!!

Complete waste of time. This should be a course on its own, and much less be charged for. This should have been the 1st week of an actual class. This only dealt with installing a couple of software tools. Hopefully the following courses will teach something worthwhile.

The content might be good, but the machine voice in the videos makes the information unbearable to be absorbed, I was unable to complete it. I want to improve my knowledge about Data Science but I will try with another provider. I won't recommend this course.

Very bad course so far. Very little detail and Assignments are very hard to solve. Worst $500 dollars spent in my life, and the course isn't worth even $10!

I'm an online instructor myself and the quality of the course isn't worth its price!

A simple list of programs that needed to be installed would cover 90% of the course content. Some of this content is also repeated in other courses in the sequence. If you have any technical skills this entire course is extremely tedious.

In my opinion, most of this information should be free and available as a pre-req. for other classes (installing R Studio).

It was cheap, but in general, I thought I was going to be more out of this course than I did.

it is confusing to move to next level. Next link is inactive , even after completing the submission, but waiting to complete peer review. But there is no peer review to complete, locking me from forward.

Students generally move towards online course to hear a human explaining them those concepts. This new technique may be time saving for you but it was really annoying and unexpected (almost everything )

$40 is way too much to spend just to learn how to install a couple pieces of software and sign up for a GitHub account. The entire course should have been the first week of the following course.

Is this a real course for a data scientist just installing shit and a peer reviewing for that screenshot and forking all repos ...very bad not worth to be with rest course in specialization

Good time of day! This course is great! But I can't finish it as I missed deadlines and can't switch session!!! I missed 1 month already because of this bug:(

It's so frustrating...

Me inscribí en el curso y solicité una ayuda económica porqué supuestamente se dictaba en castellano. Pero esto no es cierto y no puedo avanzar. Por eso mi calificación en baja.

​I can't believe all the videos are Google narrated, the voice is monotonous, and all of the videos are like 10-20 minutes long, how am I supposed to focus listening to that??

This is pure theoretical course,

It's look like a Power Point presentation. Students can not easily understand this.

I do not recommend this type of teaching on Coursera

Some interesting concepts, but way to simplistic in my opinion. Only reason I see to pay for it is the fact that it is a requirement in the Data Science Specialization

Do not take this course if you want to get a job in industry. Python now dominates industry and R is basically obsolete. I will be switching to a course in Python.

Certainly not worth paying for this course, only talks about how to install the tools.

Not able to take quizzes when you try to take the course for free.

Good introductory course. However, an overkill as a separate course (and hence charging $30 for it). Courses 1 and 2 could have been clubbed together.