Oct 26, 2016
This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.
Feb 02, 2016
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.
교육 기관: abhishek s•
Feb 25, 2016
This is just because of the unclarity of the final assignment.
교육 기관: Indraneel B•
May 01, 2016
Description of assignment questions is not clear. The expected answer from the questions are confusing.
교육 기관: Tom•
Jun 07, 2017
final project is terribly defined. Lecturers, Coursera, and Johns Hopkins should all be ashamed.
교육 기관: Josh H•
Oct 25, 2017
Very scattered and unfocused course. Sad to say that I learned very little from this one.
교육 기관: Grant I•
Jan 22, 2018
Made it all the way to week four and decided to drop this entire specialization. The data set in the final project is poorly referenced (despite the code book provided). The data set comes in 24 text files you have to merge (which isn't a problem in R) but what is a problem is when you don't understand what the variables and observations are. Perhaps if I worked in the medical field these measurements would mean more, but to a business major, they are incomprehensible with the limited documentation provided. So my assumption was, if I am having difficulty understanding what the final data structure should look like, others will be having the same problem......and its peer reviewed. How can I possible grade someone else
교육 기관: Shanmuga P•
Jan 14, 2018
Expected more explanation with the teaching part, detailed lecture depicting live examples is needed to explain each and every module of the course. similar examples like Assignments can be taught by hard-coding them with RStudio
hoping that these things can change with the next courses which I'm enrolling
교육 기관: Daniel H•
Jan 17, 2018
This course is about getting data from the web and processing it using a computer language and packages in that language that are under active development. There is a github repo with course content and other electronic resources that are made to be easy to update. It has never been updated, even once since the course first went live 4 years ago. There are many broken links, several new features and bugs in packages that make lecture content obsolete or broken, errors found by students, etc. None of these issues have been addressed, even once, in any of the material, including the extremely easy to update content on github. This is disappointing and not very professional. Additionally, many of the notes are not particularly good to begin with. Much of it is essentially cribbed from other online tutorials, examples in the documentation, and in a few cases, someone else's (also broken) lectures. Take this course if you want a study group (the forums are actually quite useful) to help you go through 4 year old lectures rehashing online tutorials from 4 years ago about a topic that changes pretty quickly.
교육 기관: Jeffrey G•
Jul 06, 2017
Why are people writing extensive blog posts contemplating the vague wording of the final assignment when you could just *fix the assignment*? Also, one of the worst explanations of regular expressions I've ever heard.
교육 기관: Diogo M•
Aug 06, 2018
MUito rápido o conteúdo e o fato do suporte ser somente o fórum deixa o curso vago, achei muito fraco os slides e o método de ensino.
Poderiam focar mais em exercícios e nos comandos mais difíceis, pois quando chega nos assignments fiquei perdido por não ter conseguido realizar da forma esperada.
교육 기관: Ahmed H E M•
Aug 29, 2019
the learning way in this course was bad, to me