It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
by Petros T•
I am sorry but the robot-based voiceover, extremely slow pace, and lack of interactivity made this specialization unbearable. Additionally, choosing R over Python seems illogical for many reasons, such as Python being the #1 language for data science, ML, AI (if you'd ever consider specializing in these areas).
Poor experience - gave up after the 3rd week and started the one from Michigan (applied data science w/ python).
by Michael Y•
Git should be introduced more slowly, over multiple courses. I cannot possibly absorb all the command line instructions that were mentioned in the class. There are just too many.
Please PLEASE *PLEASE* spread out the course content on Git over 3 or 4 courses, so we can practice it as we submit assignments. I forsee numerous wasted hours fiddling with Git Bash trying to make it work, not knowing what mistake I'm making.
by Andrew C•
$38 is a lot to pay for tutorials about how to install software. This course takes only 20 minutes to complete. It is also obsessed with command line interfaces. There's a reason that they were left behind in the 80s. It does cover GUI software like Rstudio, which is ignored for the rest of the course. How about something on the desktop Github version? https://desktop.github.com/ So much easier to use.
Quizzes were based off of extremely high level overview videos not covering anything specifically or deep diving into anything. When applying the git commands covered, numerous errors arose. Overwhelmingly academic course with very little hands on. This is not for anyone actually looking to work in this field, but for someone looking to be able to talk about this field.
by Dan H•
No value as a stand alone course, as completing it provided no more knowledge, skills, or attitudes than, say a 15 minute Ted Talk would. May help prepare me for other courses in the Data Scientist Specialization, but it's difficult to say until I complete those courses. I may come back and change this review after completing other courses in the specialization.
by Wanemi E•
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.
by Alexandru B•
Very short and just a basic overview on how to install a few tools that most of them I already had installed. All this course content could be packed into an introductory lesson instead of having to pay for it. I abandoned the specialisation because of this, I know it's a big business but at least you need to offer some value for the money
by Miroslaw M•
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.
by Emmett M•
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.
by Krista C•
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.
by Anirban C•
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.
by Hsiang-Yu Y•
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.
by Dimosthenis S•
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.
by Deleted A•
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 !!!
by Jorge G B T•
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.
by Hugo G G•
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.
by Abdelrahman A•
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!
by Louise S•
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.
by joan B•
Although the content is correct, quality models videos and materials is very low, wanted to make all the specialization, but I'm not satisfied with the quality of the course. It's a shame, because the JHU is an excellent University
by Siddharth K•
If you are doing this for certification then go ahead, but if your intention is to learn then this is not a good course. Its absolutely basic and most stuff you can find online without spending any money. Wouldn't recommend.
by Corey H•
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.
by Damo A•
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.
by YOGESH R•
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 )
by Ryan P T•
$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.
by Aayush L•
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