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.
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.
von Sven B•
This course is of lower quality than the preceding courses. The final assignment instructions are not clear. The forums helped but I have the impression that they are not really followed by the mentors.
von Pedro R A O•
the course is good in terms of the knowledge but it is very unstructured. A lot of topics are treted just superficialy and the activities do not address the content of que lectures completelly.
von Rigoberto Á E•
The professor Leak is not as gifted (in terms of teaching skills) as R. Peng. In some of the lectures he just reads what it's in the presentations but he does not go very deep into them.
von Deleted A•
Contents in first half weeks are very superficial, have low depth so that do not help me do some meaningful studies. But later ones are good for understanding the structure of data.
von Shuwen Y•
less hands-on exercises and this course covers too much topics without details. More like general intro to each tool and data sources. Swirl is still a great package for practice.
von Christoph G•
I liked it, but I had the impression it wasn't as prepared as the other courses. Especially with the course assignment I had a bit trouble to understand, what was wanted.
von Angela L•
This is not a beginner's course, so a decent grasp of the R language is necessary. It is best to take this course after some stints with Data Camp, Swirl, or Code School.
von Juan D P M•
Some lessons are pretty good, but there is a gap between the lessons and the assigments. You're evaluated in some aspects that are not very explained in the lessons.
von Sahil S•
Assiignments are out of date, some commands are deprecated. Also, the quizzes and projects require more in depth lessons or practice problems to complete. Thank you
von Yuqi J•
Some of the lectures on loading data were very dry, but I guess that can't really be helped. Also the final course project's requirements were on the vague side.
von 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.
von 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.
von 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.
von 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.
von 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.
von Ranto R•
The content of the course is very interesting and useful. However, I found very challenging the difference between lectures and quizzes/assignements
von 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.
von 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).
von nicolas r•
Some assessments are not well related with topics developed during classes. Then, it is difficult to understand what it is the goal to achieve.
von 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.
von 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.
von 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.
von 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.
von 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.
von Siarhei K•
great materials but unrelated to assignments. great real life experience "here is link. make it nice. deadline yesterday"