Avis et commentaires pour d'étudiants pour Obtenir et trier des données par Université Johns-Hopkins
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This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.
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.
1151 - 1175 sur 1,258 Avis pour Obtenir et trier des données
par Doug E
•Topics were OK but the focus on R and no other tools is frustrating
par Fabien N
•The course was good but a bit too versatile for such hard quizzes.
par finbar k
•Vague instructions in many of the quizes and the final assignment.
par Lee C W
•Average. Not useful even to tackle its own quizes and assignment.
par Denis S C
•Explanation could be more elaborated like the earlier courses
par JP B
•Not well explained.... Previous module was better structured.
par Andrew T
•Useful.
Too much talking. Not enough integrated exercises.
par Ryan W
•Mostly just R programming with data science in passing.
par Thomas G
•Very usefull but can be technical and discouraging
par BIBHUTI B P
•needs little more real time scenario examples..
par Pedro V Q d C
•Course is too simple, should be more extensive.
par Madhubalini V
•practices is much needed to complete projects.
par Dr. M H A J
•Amazing, Kindly update the versions always.
par Ahmed A
•I THINK THE COURSE NEED TO BE UBDATED
par Ivo G G V
•It needs an update on some libraries.
par Mario P
•Useful, but a little boring.
par KIM D H
•its so hard for beginner to
par Antoine D
•Interesting but too simple.
par Liliana B S
•Sometimes is hard to follow
par Dinesh B
•The assignment was tough.
par Hussien E
•A little hard to follow
par Naman D D
•Too much repetittion.
par Sujeet S
•Too tough
par Mike E
•Professors did not do a lot beyond rehearsing what the commands did. More important, there were a lot of small things that would stop progress on the course unless you went deep into the forums - for instance, one of the files in the final project was illegible unless you used the right text editor. Final project was poorly designed in that the data were untidy but intended to stay that way (See "Should I decompose the variable names?" in Thoughtful Bloke's post at https://thoughtfulbloke.wordpress.com/2015/09/09/getting-and-cleaning-the-assignment/ - he is right about jerk and mag but wrong about time/freq, gravity/body, acc/gyro, and x/y/z, which are mutually exclusive members of the same set and thus values that appear in column names). I appreciate that this course, unlike other online courses, actually makes you think, but students should only have to think about topics germane to the course. Overall much more frustrating and time-consuming than it should have been.
par Bill C
•This course is where the material starts to get difficult, and the learning materials fail to provide the structure needed. There absolutely HAS to be a better teaching method than "reading the slides of bullet-ed text that I'm also showing". No functional examples are provided in the lectures and the real learning content is linked out to web resources. You will have to Google your way through this class because the provided instruction will not contain answers to the quiz or exam questions. A real disappointment.
I also think that Coursera knows this, because this was the first course where they ramped up the e-mail encouragement campaign. Their data must tell them this is where people fall off the specialization. Rather than addressing with marketing and messaging, they should encourage the instructors to improve the course.
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