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.
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 Felix R•
Ups and Downs.
Some presented functions are deprecated according to official documentation...
By Mohammadreza A•
Course project was really vague and it took me 3 days to understand what is really wanted
By Brandon W•
The lessons are good, but they do not prepare you for the tests or end-of-course project.
By Nathan H•
The assignments required A LOT of help outside the information provided in the lectures.
By Jack H•
Not as good as the other courses offered by this specialisation. In need of an update!!
By Himanshu R•
Need more lectures on R packages and newly added packages like reshape, dplyr etc.
By Juan A S O•
The evaluation part of the course needs some fixing. Otherwise, very good course!
By Samidha S•
Course touches points very superficially. Need to have better reference material.
By Edward A S M•
More examples of code running in parallel with the course work will be helpful.
By Derek R•
This course really gets you working with R. The swirl exercises are great.
By Ish G•
very nicely made course providing a good hands on with R language. Thanks!
The letrue should be updated. Most of the URL address is not accessible
By Jean-Francois J•
The course isn't that hard but there is a lot of content to assimilate.
By Doug E•
Topics were OK but the focus on R and no other tools is frustrating
By Fabien N•
The course was good but a bit too versatile for such hard quizzes.
By finbar k•
Vague instructions in many of the quizes and the final assignment.
By Lee C W•
Average. Not useful even to tackle its own quizes and assignment.
By Denis S C•
Explanation could be more elaborated like the earlier courses
By JP B•
Not well explained.... Previous module was better structured.
By Andrew T•
Too much talking. Not enough integrated exercises.
By Ryan W•
Mostly just R programming with data science in passing.
By Thomas G•
Very usefull but can be technical and discouraging
By BIBHUTI B P•
needs little more real time scenario examples..
By Pedro V Q d C•
Course is too simple, should be more extensive.
By Madhubalini V•
practices is much needed to complete projects.