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.
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.
By Alina S
•Oct 17, 2017
First two weeks were not really valuable for me, sorry. But the las two actually were.
By Mauricio E F
•Aug 27, 2017
The videos are not so much related with the assigments but in overall is a good course
By Karan R
•Jul 14, 2016
Sometimes get a bit boring, though the upcoming courses in the series are real-awesome
By Ben K
•Apr 25, 2016
A reasonable course. Could use a little more focus on dynamically creating a codebook.
By Nataliya
•Dec 16, 2015
Very useful course. It's worth to add slides and to make sound of lectures bit louder.