HS
May 2, 2020
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.
BE
Oct 25, 2016
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 C. T M
•Jan 27, 2016
it's a little rapid fire, but the exercises are excellent for applying the firehose of functions and concepts from the lecture
By Irmgard T
•Jun 20, 2017
Good course, though I found that the lecture content could have matched the knowledge required for the tasks/projects better.
By Md F A
•May 23, 2016
The demanding complexity for 'programming-project( final )' should offer little more instructional support on lecture slides.
By Alfredo A
•Jun 12, 2017
Great introductory course in how to use R to get data from different sources and leave record of this step of data analysis.
By José I F J
•Nov 17, 2016
It is a very good course, but it does not follow the same level of proposed work as in the previous course (R Programming).
By Francisco J D d S F G
•Nov 3, 2016
A thorough course on how to structure and clean dirty data before making analyses on the data - very practical course in R.
By Diego M D V
•Jun 22, 2023
There is a need to update the different links associated with course lectures so it is possible to obtain the right data.
By Rejane R d C P
•Nov 2, 2020
I think some assignments may be more clear such as the final project. They give way to several different interpretations.
By Greg R
•Apr 14, 2016
Some parts of the course felt like... here are some cool things you might want to do... Google them. Otherwise valuable.
By Lei S
•Dec 24, 2017
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.
By Madhav S K U
•May 29, 2017
i found this useful and gained knowledge on important pacakages,if you are a beginer in R do not skip "swirl " practice.
By Jeroen v B
•Sep 16, 2018
The course is ok, but a little bit too general. It should require more actual coding, maybe worksheets might be useful.
By Giovanna A G
•Sep 25, 2016
It is amazing to learn how many different kinds of data exists and how to work with them using R. Wonderful course!
By Tran H H T
•Feb 21, 2016
Slides and videos are a bit insufficient in order to finish course projects.
Apart from that, this course is awesome!
By ESTEBAN C P
•Aug 23, 2021
Definetly it´s a better than the 2nd one (R Programming). Hopefully the next one keeps with this didactical level.
By Dylan P
•Apr 21, 2018
I think there should be more graded assignments. The quizzes help but doing more projects would be really helpful.
By Tony S
•Dec 10, 2022
Quite a leap from course content to final project but still a rewarding course with lots of hands on coding in R
By jishuenkam
•Aug 14, 2016
I think it is a decent introduction to data cleaning. Could be more detailed in terms of the content delivered.
By Matt C
•Dec 22, 2016
This course was okay, but projects required much more in depth information than the course materials provided.
By Edén S
•Jul 4, 2020
Very interesting course where we learn the methods to get data from the web, clean data and getting it clean.
By EzzEddin A
•Feb 22, 2018
This course is brilliant, but I expected more exercises to master more commands in R mentioned in the course.
By Stephen K
•Apr 8, 2017
Great info on accessing data from multiple sources. Also some excellent teaching on relevant R code modules.
By Thiago Y
•Aug 30, 2020
This part of the specialization is very important since 70% of a data scientist work is get and clean data.
By Nikita Z
•May 21, 2020
I tried my best to the best, certain things were little complicated to understand but it was worth learning
By Agatha L
•Aug 16, 2017
The content choice is fantastic - introduced a lot of great tools - albeit somewhat rushed in presentation.