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.
DH
Feb 1, 2016
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.
See the videos for general presentation, but use the energy on the excersizes.
By Hernan S
•Apr 15, 2016
Fun and interesting. Won't remember all the ways to get and clean data, but it's good to review them so I know what's possible.
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