Learner Reviews & Feedback for Getting and Cleaning Data by Johns Hopkins University
About the Course
Top reviews
HS
May 2, 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
Oct 25, 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.
951 - 975 of 1,311 Reviews for Getting and Cleaning Data
By EzzEddin A
•Feb 22, 2018
This course is brilliant, but I expected more exercises to master more commands in R mentioned in the course.
By Stephen K
•Apr 8, 2017
Great info on accessing data from multiple sources. Also some excellent teaching on relevant R code modules.
By Thiago Y
•Aug 30, 2020
This part of the specialization is very important since 70% of a data scientist work is get and clean data.
By Nikita Z
•May 21, 2020
I tried my best to the best, certain things were little complicated to understand but it was worth learning
By Agatha L
•Aug 16, 2017
The content choice is fantastic - introduced a lot of great tools - albeit somewhat rushed in presentation.
By Gianluca M
•Feb 16, 2017
Very good place to learn very important tools like dyplr and tidyr to access and clean from several formats
By Sharon A
•Apr 15, 2018
Allows you to deepen your knowledge in R how to get data. The final work was challenging, but possible :-)
By Blazej M
•Nov 12, 2017
Nice course. Far easier than R-Programming. Could be refreshed to match tidyverse workflow. Otherwise OK.
By Dimitris A
•Nov 30, 2018
The assignments are sometimes poorly explained. Other than that this is a solid and very useful course.
By Marcel A G
•Nov 8, 2018
It was a great course, however I had a bit of confusion when trying to understand the final assignment.
By Jane P N
•Apr 30, 2023
The course did deliver what I was expecting! Thank you very much to the organizers and the instructor!
By Tri B
•Apr 1, 2022
This course is quite challenging but it provides me basic idea of tiny data which is very helpful.
By Jean-Philippe M
•May 20, 2019
Great course but would benefit of more hands on exercises done by the teacher during the lectures.
By Martin L
•Jun 5, 2019
Overall very good but the class does not teach enough to make the course work easy to figure out.
By Ryo I
•Feb 12, 2018
I want to learn how to make an efficient codebook and README.
Using Github is a bit hard for me.
By Hani M
•Aug 10, 2016
awesome course, will require a lot of reading and re-reading though - mainly for the R part.
By Holger B
•Feb 7, 2016
Content is good, but the delivery could be improved (email alerts, assessment feedback, etc)
By V K V
•May 18, 2022
I would like to have notes or PPT related to this course it will be better if u share that
By Cruz C
•Aug 12, 2017
This hands on project requires to put in practice all R concepts from the previous courses.
By Peggy C
•May 22, 2017
The course seems pretty simple but the content is condensed and really relevant. A must do.
By Rakesh
•Apr 10, 2016
The Final Project was excellent. Really satisfying upon completion. Course was good aswell.
By mark t
•Feb 24, 2017
This is a fantastic course. Well designed and incredibly useful as far as course content.
By Boitumelo T
•Jul 21, 2021
The course is very informative and quite challenging for one starting the Data Science.
By LEYTON V H E
•Sep 10, 2020
las actividades evaluativa son mucho mas difíciles que lo que se presenta en los videos.
By Marco C
•Nov 27, 2017
Very good course. I would have liked to learn something about missing value treatment.