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Avis et commentaires pour d'étudiants pour Obtenir et trier des données par Université Johns-Hopkins

7,885 évaluations
1,295 avis

À propos du cours

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data....

Meilleurs avis

2 mai 2020

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.

1 févr. 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.

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1151 - 1175 sur 1,258 Avis pour Obtenir et trier des données

par Doug E

27 juil. 2016

Topics were OK but the focus on R and no other tools is frustrating

par Fabien N

8 nov. 2019

The course was good but a bit too versatile for such hard quizzes.

par finbar k

26 juin 2018

Vague instructions in many of the quizes and the final assignment.

par Lee C W

27 mai 2018

Average. Not useful even to tackle its own quizes and assignment.

par Denis S C

1 nov. 2017

Explanation could be more elaborated like the earlier courses

par JP B

6 août 2016

Not well explained.... Previous module was better structured.

par Andrew T

1 févr. 2018


Too much talking. Not enough integrated exercises.

par Ryan W

24 oct. 2018

Mostly just R programming with data science in passing.

par Thomas G

19 août 2016

Very usefull but can be technical and discouraging


30 mai 2017

needs little more real time scenario examples..

par Pedro V Q d C

9 nov. 2016

Course is too simple, should be more extensive.

par Madhubalini V

6 oct. 2020

practices is much needed to complete projects.

par Dr. M H A J

2 juil. 2018

Amazing, Kindly update the versions always.

par Ahmed A

14 juin 2020


par Ivo G G V

20 juin 2019

It needs an update on some libraries.

par Mario P

9 déc. 2017

Useful, but a little boring.

par KIM D H

22 juil. 2017

its so hard for beginner to

par Antoine D

3 sept. 2016

Interesting but too simple.

par Liliana B S

4 mars 2016

Sometimes is hard to follow

par Dinesh B

13 mai 2017

The assignment was tough.

par Hussien E

11 sept. 2019

A little hard to follow

par Naman D D

9 juin 2020

Too much repetittion.

par Sujeet S

7 janv. 2020

Too tough

par Mike E

6 sept. 2017

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 - 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

28 sept. 2016

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.