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 Yunfan T
•Jul 28, 2017
the course lecture is not enough for assignment
By Marina V V m
•Dec 20, 2018
More swirl exercises! They are really helpful
By Manny R
•Aug 10, 2017
Time consuming and Challenging but very good.
By Patrick B
•Nov 19, 2019
Challenging assignment. Interesting material
By Gustavo P
•Sep 26, 2018
Good course, but se subject, not so mutch...
By Alex s
•Dec 28, 2017
The last project instructions were unclear.
By Mehul P
•Sep 10, 2017
Nice explanation on cleaning data activity.
By Niranjan A
•May 22, 2017
Great course materials!! Great effort!! :-)
By Marcos A V
•May 15, 2017
I've learned much about reading data in R!
By Daren T
•Feb 8, 2016
was tougher than expected. i learnt a lot!
By Chong C F
•Sep 7, 2016
Well pack, but could have more practice.
By Andrew K
•Jun 9, 2019
The class could have better uniformity.
By Guillaume H
•Dec 2, 2016
Useful technics to make things workable
By Tharindra P
•Apr 15, 2020
Great content and hands on experience.
By Lucrecia P
•Apr 9, 2023
A little more examples would be nice.
By Ada
•Nov 14, 2016
Well done. Thanks for a good course.
By Lluís G
•Nov 8, 2016
Nice set of techniques and methods!
By Jehan H
•Jan 11, 2020
The course has useful information.
By John B
•Oct 10, 2020
Guidance and instruction is good.
By Rajib K
•Feb 26, 2017
need to be crisped, over all good
By Paras B
•Apr 7, 2018
Great course for the beginners!!
By Shahrokh N
•Feb 10, 2018
Nice course and worth taking it.
By Hakan S
•Oct 24, 2020
One of the best of Data Science
By Joseph L
•Sep 15, 2020
Videos weren't detailed enough.
By Laurent R
•May 16, 2019
Good courses, I learned a lot!