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 Ioannis S•
Maybe some more notes about the quizzes and the course project would be helpful.
By Ryan B•
Excellent, though I found the wording for the final coursework quite confusing.
By Fede N•
Course is great! Many examples are given on how to get data in various format.
By Anush M•
Kind of slow in the beginning but picked up to the end to give me a challenge
By Markus K•
The course was quite good, but the last assignment was really much too vague.
By Praveen k•
good course to start with cleaning data and how to get data from resources.
By Mike W•
Good overview of using R (and dplyr) to clean data into "tidy" dataframes.
By Victor R•
Helpful, but more than half of the knowledge is in the swirl tutorial.
good course, if there are more text mining content, it will be better
By Charles-Antoine d T•
some shortcuts on the viodes makes the replication of work difficult
By Hiva P•
for me the instruction for peer review exercises was not very clear
By Joshua K•
The course project is too vague. Perhaps this is done on purpose.
By JUYU K•
The project/assignment sometimes is not too clear on what to do.
By naveen k•
The course content must be more in-depth for auditing the course.
By Hai N•
Provide a good introduction to getting data and processing them.
By Andrew W•
Great course for diving deeper into the R programming language.
By marcelo G•
Very well elaborated. Very useful and real exercises and tools.
By Ashish S•
This would be very effective for my personal skill enhancement.
기본적인 내용을 다루어 주어서 좋았습니다.
조금 속도가 빠르긴 했지만, 좋은 강의였다고 생각합니다.
By 玥 张•
Great course but do not offer sufficient practical exercises.
By Ankush K•
Not the most exciting course, but definitely worth it/needed.
By Jayce L•
in my opinion, with more details, we could learn more about R
By Federico G•
I think using python would have been a better option than R
By Prashant K•
Videos can be bit more detailed (similar to the R program)
By Hung P•
A little bit out-dated, but very useful. I learned a lot.