Avis et commentaires pour d'étudiants pour Obtenir et trier des données par Université Johns-Hopkins
À propos du cours
Meilleurs avis
HS
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.
BE
25 oct. 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.
926 - 950 sur 1,274 Avis pour Obtenir et trier des données
par EzzEddin A
•22 févr. 2018
This course is brilliant, but I expected more exercises to master more commands in R mentioned in the course.
par Stephen K
•8 avr. 2017
Great info on accessing data from multiple sources. Also some excellent teaching on relevant R code modules.
par Thiago Y
•30 août 2020
This part of the specialization is very important since 70% of a data scientist work is get and clean data.
par Nikita Z
•21 mai 2020
I tried my best to the best, certain things were little complicated to understand but it was worth learning
par Agatha L
•16 août 2017
The content choice is fantastic - introduced a lot of great tools - albeit somewhat rushed in presentation.
par Gianluca M
•16 févr. 2017
Very good place to learn very important tools like dyplr and tidyr to access and clean from several formats
par Sharon A
•15 avr. 2018
Allows you to deepen your knowledge in R how to get data. The final work was challenging, but possible :-)
par Blazej M
•12 nov. 2017
Nice course. Far easier than R-Programming. Could be refreshed to match tidyverse workflow. Otherwise OK.
par Dimitris A
•30 nov. 2018
The assignments are sometimes poorly explained. Other than that this is a solid and very useful course.
par Marcel A G
•8 nov. 2018
It was a great course, however I had a bit of confusion when trying to understand the final assignment.
par Tri B
•1 avr. 2022
This course is quite challenging but it provides me basic idea of tiny data which is very helpful.
par Jean-Philippe M
•20 mai 2019
Great course but would benefit of more hands on exercises done by the teacher during the lectures.
par Martin L
•5 juin 2019
Overall very good but the class does not teach enough to make the course work easy to figure out.
par Ryo I
•12 févr. 2018
I want to learn how to make an efficient codebook and README.
Using Github is a bit hard for me.
par Hani M
•10 août 2016
awesome course, will require a lot of reading and re-reading though - mainly for the R part.
par Holger B
•7 févr. 2016
Content is good, but the delivery could be improved (email alerts, assessment feedback, etc)
par V K V
•18 mai 2022
I would like to have notes or PPT related to this course it will be better if u share that
par Cruz C
•12 août 2017
This hands on project requires to put in practice all R concepts from the previous courses.
par Peggy C
•22 mai 2017
The course seems pretty simple but the content is condensed and really relevant. A must do.
par Rakesh
•10 avr. 2016
The Final Project was excellent. Really satisfying upon completion. Course was good aswell.
par mark t
•24 févr. 2017
This is a fantastic course. Well designed and incredibly useful as far as course content.
par Boitumelo T
•21 juil. 2021
The course is very informative and quite challenging for one starting the Data Science.
par LEYTON V H E
•10 sept. 2020
las actividades evaluativa son mucho mas difíciles que lo que se presenta en los videos.
par Marco C
•27 nov. 2017
Very good course. I would have liked to learn something about missing value treatment.
par Alina S
•17 oct. 2017
First two weeks were not really valuable for me, sorry. But the las two actually were.
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