Chevron Left
The Data Scientist’s Toolbox に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック



In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
Foundational tools
Introductory course



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.


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.


The Data Scientist’s Toolbox: 6626 - 6650 / 6,694 レビュー

by Jonas L


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.

by Rajat J


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.

by Isaac A G


It has almost no content and isn't actually useful. I've heard later classes in the series are way tougher, so the ramp up isn't at all good.

by Chris M


Not really enough content to be a course in it's own right, should be additional material as is useful, but definitely not a requirement.

by Attila T


It is really basic course, I expected much more even if this is offered only for $29.. (the cheapest course in the specialisation)

by Subash L


Not taught by real professors. I want to unenroll out of this whole specialization; cant handle listening to robot. Annoying!!!

by Wei D


I think a few people like to hear the mechanical voice. Some videos have really low resolution and it is hard to see the codes.

by Marcelo X d N


Eu achei o site desorganizado, não sei se concluí ou não o curso. Não sei se executei todas as tarefas ou não. Decepcionante

by Valentin D


Completely useless. Just a number of boring videos of what you may possibly learn in Data Science Specialization.

by Francisco S


Not worth the price. Extremely basic stuff spread very thin over too much time just to be able to charge for it.

by Gianluca M


Useless. The information content is close to zero. Just some blah-blah and a long tutorial to install software.

by Luke S


Way too basic for the price - almost no content - this is just setup - I resent paying for setup instructions.

by John B


Horrible explanation regarding push and pull requests. Would not recommend this course to my friends.

by Gary N A


Poorly organized. Poorly communicated. No reliable source of assistance with technical problems.

by Stefan S


Would wish this course was not a requirement for specialization. Easy, and not giving anything.

by Omar A


An online non-credit course authorized by Johns Hopkins University and offered through


by Georgios K


The courses are not by a real instructor/professor but are scripts read out loud by a machine.

by Tony W


The course does not warrant the price, it has way too little information. Very dissatisfied.

by Parth G


It's a course which is designed to preview the other courses. It could easily be eliminated

by Espen R


This course could be summed up in one page or so. Very little content.

GitHub lessons good.

by Jordana Z


The robot voice is terrible. This needs to be fixed. I wish it was an actual person.

by Wesley M


I finished this course in one day. It is ridiculous as it is poorly structured.

by unteachable


By far to expansive for what you get. Anyway, thanks for the hint about swirl.

by Samuel M M


Horiible, me volvieron a cobrar un cuando ya lo había terminado. Una estafa

by Bernard


This course was extremely exciting for me. I enjoy every bit of the course.