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.
von Irmgard T•
Good course, though I found that the lecture content could have matched the knowledge required for the tasks/projects better.
von Md F A•
The demanding complexity for 'programming-project( final )' should offer little more instructional support on lecture slides.
von Alfredo A•
Great introductory course in how to use R to get data from different sources and leave record of this step of data analysis.
von José I F J•
It is a very good course, but it does not follow the same level of proposed work as in the previous course (R Programming).
von Francisco J D d S F G•
A thorough course on how to structure and clean dirty data before making analyses on the data - very practical course in R.
von Rejane R d C P•
I think some assignments may be more clear such as the final project. They give way to several different interpretations.
von Greg R•
Some parts of the course felt like... here are some cool things you might want to do... Google them. Otherwise valuable.
von Lei S•
A little bit hard to follow, because there were so many things didn't work for me. I had to figure things out by myself.
von Madhav S K U•
i found this useful and gained knowledge on important pacakages,if you are a beginer in R do not skip "swirl " practice.
von Jeroen v B•
The course is ok, but a little bit too general. It should require more actual coding, maybe worksheets might be useful.
von Giovanna A G•
It is amazing to learn how many different kinds of data exists and how to work with them using R. Wonderful course!
von Tran H H T•
Slides and videos are a bit insufficient in order to finish course projects.
Apart from that, this course is awesome!
von Dylan P•
I think there should be more graded assignments. The quizzes help but doing more projects would be really helpful.
I think it is a decent introduction to data cleaning. Could be more detailed in terms of the content delivered.
von Matt C•
This course was okay, but projects required much more in depth information than the course materials provided.
von Edén S•
Very interesting course where we learn the methods to get data from the web, clean data and getting it clean.
von Ezz E A•
This course is brilliant, but I expected more exercises to master more commands in R mentioned in the course.
von Stephen K•
Great info on accessing data from multiple sources. Also some excellent teaching on relevant R code modules.
von Thiago Y•
This part of the specialization is very important since 70% of a data scientist work is get and clean data.
von Nikita Z•
I tried my best to the best, certain things were little complicated to understand but it was worth learning
von Agatha L•
The content choice is fantastic - introduced a lot of great tools - albeit somewhat rushed in presentation.
von Gianluca M•
Very good place to learn very important tools like dyplr and tidyr to access and clean from several formats
von Sharon A•
Allows you to deepen your knowledge in R how to get data. The final work was challenging, but possible :-)
von Blazej M•
Nice course. Far easier than R-Programming. Could be refreshed to match tidyverse workflow. Otherwise OK.
von Dimitris A•
The assignments are sometimes poorly explained. Other than that this is a solid and very useful course.