Sep 08, 2017
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.
Apr 15, 2020
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 Самойленко К В•
Jan 08, 2019
A lot of common information, no real examples. may be OK os introdaction, but for scilled student useless. Bunch of very short videos — I'd prefer to see it as a text tutorial
by Steve B•
Jun 06, 2018
There is imply not much substance here. Everything here can honestly be integrated into other courses or offered as a free overview course of what data science is.
by Marcelo S•
Dec 09, 2017
This course is more of an overview of what is to come. A lot of what is presented here could just be in the format of a word or PDF with a series of links.
by Howie Z•
Mar 30, 2020
It does nothing better than just a PDF file... I would appreciate if they actually provide a PDF file, so everything is integrated and no loading time.
by Anh T N•
Jul 24, 2020
Very basic stuff and very dull, monotone computer-synthesized voice. The quizzes are also so easy you may as well not take them.
by Rebecca S•
May 13, 2020
Having an instructor narrate is extremely important in a course. The robot that is narrating makes the videos unwatchable.
by Ivan Y•
Oct 26, 2017
The course contains almost no valuable information. It is not required to spend 4 weeks for it.
by maryam A•
Aug 21, 2019
It is unbelievable how one can learn with this boring automatic course. I can not stand it!
by Mohammad A N I•
Jan 08, 2020
I do not like the voice in this course . I will can not continue the course .
by Ian H•
Apr 12, 2018
Terribly run waste of money! Better off going to Data Camp!
by Kishan S•
May 06, 2018
It was useless for me; as i have used R studio previously
Oct 04, 2018
Low quality, I didn't learn anything really.
by Steve Z J•
Jun 28, 2019
Bad course. All videos are machined read.
by Lia L•
Feb 19, 2019
I really don't like the automated videos.
by George K B•
Aug 05, 2018
A lot of information without practice
by jonathan s•
Mar 16, 2018
Seemed pretty useless to me
by Normand D•
Dec 02, 2015
I would like to report some major issues with the new interface.
1) We don't have access to the slides anymore. This is a major issues since some of the slides content important links. These links are not shown in the transcript (I've double checked).
2) When we try to download the videos, subtitles or transcript, the resulting file name is the same for all content of the same type. More specifically, all videos are named "index.mp4", all subtitle files are named "subtitles.vtt" and all transcript files are named "subtitle.txt". This makes it more difficult for the student to save the files. In the previous version I would only right-click and saved in the right directory. Now, I have to right click, type the right name (which could be long sometimes) and then save the file.
3) In the previous interface, it was possible to see all the threads we were subscribed to. It is no more the case. It is not a problem right now, because there is not a lot of posts, but in cases where the number of post increase, it will be a pain to go through the list of threads and find the ones of interest.
Please ignore the review for now, I couldn't submit my comments without reviewing the course.
More comments may follow later...
Apr 05, 2020
This is a recommended course for anyone serious with data science. It is highly accessible, especially for screen-reader users who may be comfortable taking lectures using text rather than videos. I was able to successfully complete assignments on my own without problems. However, the only setback I see with the course is its over-reliance on RStudio. While Rstudio is a great IDE for R programming, it is not yet fully accessible. So questions like, "Which quadrant is at the bottom right corner" are answered as a guess-work rather than full knowledge. I suggest that command-line options be considered as this is accessible for everyone. Thus, while the GUI option is left intact, there is need to also provide command-line alternative to accomplishing the same thing. Otherwise, this course is perhaps the best when it comes to introducing the concepts on data science.
by Chandra P•
Mar 01, 2018
The Professor's are just amazing in their knowledge. The slow bits of information and the way testing is done is so methodical and so well planned. If anybody says they are bored then I am sure they are bluffing, as I found out how enjoyable online learning can me. I am 40, working and a father of 2 children, time is scarce and this online way of learning with financial aid, I could not ask for anything more. Coursera is helping people like me find a hope of learning at their own pace, place and with their financial aid program helping poor people from developing countries like India see the light at the end of the tunnel. I really am indebted to Coursera for changing my life and helping me dream of a career transition even at this age, as in India if you tell anyone that you are studying at the age of 40, they would laugh and make fun of you.
by Ramalakshmanan S P•
Feb 23, 2016
I have completed the Data Scientist's Toolbox. I enjoyed learning this course. I learned a lot of new concepts, installation of R, R Studio, hands-on with these and GITHUB.
The lessons are well balanced and help me learn the concepts and the tool usage in a cool way. I liked the Quizzes, Assignments as these help me evaluate myself and instill confidence within me. Now, I've the confidence in work on any of these with certain amount of instructions.
However, I feel that certain guidance on progressing further with respect to R, RStudio, GITHUB could be provided as additional study material.
Thanks to Coursera for providing such a wonderful course and to Prof. Roger D. Peng, Jeff Leek and Brian D. Caffo for their meticulous effort in designing this course and helping in my learning.
Wishing my Professors and Coursera all the Success.
by Miguel C•
Mar 10, 2020
The course is really well organised and challenging.
It gives a good introduction to data science, as well as some currently relevant concepts related to it, such as machine learning and big data. I found it easy to understand and I enjoyed the pacing. Moreover, I really appreciated the time this course spends on teaching some of the basic tools that are needed in data analysis, namely R (and RStudio, R Markdown) and Github.
You are constantly challenged by small quizzes to make sure you really understood the material. They're not too complicated that you would get frustrated, but also not too obvious that you'd be bored by them, and more often than not you even learn other things from these quizzes.
I definitely learned a lot and would recommend it!
by Carlos M•
Jul 15, 2016
It's a good first step into getting the right programs, learning key vocabulary, and interacting with important websites/programs at a very introductory level.
If you are not from a math/statistics background you can still complete the course but you will not understand the previews for later courses completely, that is ok! But consider getting the eBook with this course.
My only complaint is the quizzes, it often feels impossible to get a 5/5 based on only what you get from the lectures, there's always 1 question that is completely over the top compared to the other 4, but you can do the quizzes 3 times every 8 hours and just trial and error the 1 gotcha question on each quiz.
by Ashish G•
Aug 28, 2019
The Data Scientist's Toolbox is the first course of the Data Science course by Johns Hopkins University. The course contains constituents which are needed to build a base for future data scientists. 4 weeks of the course contains the basics of data science, Installing R and Rstudio, working on Github and many more things. The course is suitable for people who have no prior knowledge of data science and are looking to find something which contains the basics of the topic. If you're in a dilemma of studying something which is related to data science and you're not aware of the basics of it then I recommend you to select this course and study. All the best!
by Panagis L•
Jul 05, 2017
It was interesting to see how a University is approaching topics which are considered "Core IT" and present them to non-IT people. Though I consider myself very strong as an IT with a master's degree and heavy experience in databases, Matlab and some R, it still had many things to give me and most of all, a methodology in setting up a lab environment. Although I was graded lower in the last assignment because I use Visual Studio Extension for R, by someone who does not know that R is one in the system and the shell may differ, I strongly believe that the rest of the courses will provide the methodology needed to approach complex data science problems.
by Jaime A•
May 27, 2018
Very interesting intro to data science, but the focus on command line Git may drive people away (although it was a great contribution for me!) I would use that time and effort to delve deeper in the concepts that a person must grasp in order to understand the challenges that are better tackled by using data science.
I believe there is a big and harmful disconnect between the ideas that decision makers have of their understanding of world "out there", and the real possibilities of observing and making sense of it. If this course would help narrow that gap, even a little bit, then I believe more people would be using the insights of this discipline.