Kursteilnehmer-Bewertung und -Feedback für Getting and Cleaning Data von Johns Hopkins University
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Top-Bewertungen
May 03, 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.
Oct 26, 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.
1051 - 1075 von 1,172 Bewertungen für Getting and Cleaning Data
von Paul M
•May 16, 2018
I felt I had to teach myself in this course. I feel I would have had the same learning experience if I had purchased a good R book.
von Richard C
•May 10, 2018
A lot of things covered in this course in a short time. Probably should have been 8 weeks with more homework done step by step.
von Diana L G
•May 19, 2020
Sometimes I felt the were not evaluating my learning or ability to do things but my ability to read instructor's mind.
von Hassan D
•Apr 17, 2020
it gives us good information, but the information sometimes are incomplete or need to be updated( created in 2014!)
von Archana R
•Aug 31, 2016
good course. but some concepts are hard to understand for newbies. so felt it was a bit advanced in parts.
von Sudarshan C
•Mar 01, 2016
The materiel covered in the course was great, but more assignments instead of quizzes should be added.
von John G
•Feb 23, 2017
Materials (video and written) only partially prepare the student for the quizzes and course projects.
von Lam C M
•Mar 20, 2018
Not as clear and straightforward as R Programming. But definitely a worthwhile course to look at.
von Teena G
•Feb 10, 2018
While the available content is good, I expected this course to take me to a more detailed level.
von Felix R
•Jan 31, 2019
Ups and Downs.
Some presented functions are deprecated according to official documentation...
von Brandon W
•Aug 11, 2020
The lessons are good, but they do not prepare you for the tests or end-of-course project.
von Nathan H
•Sep 17, 2018
The assignments required A LOT of help outside the information provided in the lectures.
von Jack H
•Jun 01, 2020
Not as good as the other courses offered by this specialisation. In need of an update!!
von Himanshu R
•Oct 26, 2017
Need more lectures on R packages and newly added packages like reshape, dplyr etc.
von Juan A S O
•Apr 25, 2016
The evaluation part of the course needs some fixing. Otherwise, very good course!
von Samidha S
•Sep 02, 2017
Course touches points very superficially. Need to have better reference material.
von Edward A S M
•Nov 04, 2019
More examples of code running in parallel with the course work will be helpful.
von Derek R
•Dec 15, 2017
This course really gets you working with R. The swirl exercises are great.
von ISH G
•Mar 05, 2016
very nicely made course providing a good hands on with R language. Thanks!
von Jean-Francois J
•Feb 05, 2017
The course isn't that hard but there is a lot of content to assimilate.
von Doug E
•Jul 28, 2016
Topics were OK but the focus on R and no other tools is frustrating
von Fabien N
•Nov 08, 2019
The course was good but a bit too versatile for such hard quizzes.
von finbar k
•Jun 26, 2018
Vague instructions in many of the quizes and the final assignment.
von Lee C W
•May 28, 2018
Average. Not useful even to tackle its own quizes and assignment.
von Denis S C
•Nov 01, 2017
Explanation could be more elaborated like the earlier courses
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