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 Buddsalakhum R•
I think this one is easier than the R programming but still, more exercises to practice would be good. Also, the assignment's explanation should be more simple.
By Samantha H•
It would be better if we had practice problems along the way. This course seemed to have a lot of commands that didn't stick until I put them into practice.
By András H•
This is an important course, but many updates will be needed. There are only a few exercise task, there could be more. The swirl part of the course is good.
By Andrew C•
The best course so far (though that's not saying much). This course would be better as a follow up to an example workflow showing an end to end analysis.
By amir a s•
Not on par with the course sets before it, could have been a bit more explaining as cleaning data is one of the most important parts of data science.
By RAMANANJATO R H•
The content of the course is very interesting and useful. However, I found very challenging the difference between lectures and quizzes/assignements
By Bijan S•
The selection of topics is great. However, the course is too abstract. I think some of the materials deserve to be discussed more comprehensively.
By Paymon H•
Toughest class in the offering. There really could've been 2 classes for cleaning data. I struggled with the lecturer's style (spoke too fast).
By Daniel D•
The project description could have been a lot more descriptive for what we were supposed to do. Otherwise, I had a lot of fun with this section.
By Teodor I•
The non-clickable links in the pdf are a major problem. You need to figure it out. Create a link reference field for each video or something.
By Nishi G•
To get value from the class, I used other on-line materials to understand the topic. Thus, I spent about 20 hours/week on this class.
By Paul M•
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.
By Richard C•
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.
By Siarhei K•
great materials but unrelated to assignments. great real life experience "here is link. make it nice. deadline yesterday"
By Diana L G•
Sometimes I felt the were not evaluating my learning or ability to do things but my ability to read instructor's mind.
By Hassan D•
it gives us good information, but the information sometimes are incomplete or need to be updated( created in 2014!)
By Archana R•
good course. but some concepts are hard to understand for newbies. so felt it was a bit advanced in parts.
By Sudarshan C•
The materiel covered in the course was great, but more assignments instead of quizzes should be added.
By John G•
Materials (video and written) only partially prepare the student for the quizzes and course projects.
By Lam C M•
Not as clear and straightforward as R Programming. But definitely a worthwhile course to look at.
By Teena G•
While the available content is good, I expected this course to take me to a more detailed level.
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.