May 03, 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.
Feb 02, 2016
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.
By Ishwarya M•
Jun 21, 2019
The course content as well as the assessments are very good. I would recommend this course for everyone who wants to learn Data science
By Brett M•
Jul 12, 2016
Really fantastic even as an experienced R user. This is helping me remould my habits and break some of the bad ones. Thank you so much!
By Ricardo L•
Dec 29, 2019
The most important information I learned was the tidy data standard. Very useful and clear. It will make the analysis process easier.
By Georgios P•
Sep 24, 2018
The most crucial part of statistical inference or machine learning is tidy data and this course provides the basic tidy data rules!
By Yanying J•
Feb 03, 2020
It's useful and practical! Especially, the swirl excerises offered not only the method, but also a clear example of data cleaning.
By Andrew C•
Jan 08, 2019
The class was very interesting and useful, although I would have liked more opportunities to do web scraping in the problem sets.
By Shaikh M I•
Nov 22, 2016
This course is really helpful and very practical. Provides industry standard information and adheres to the scientific principles.
By Jorge L P d l T•
May 21, 2020
Managing Data has be a passion for me, this course for sure, opened me new skills using the powerful features of the R language.
By Shashikesh M•
May 27, 2017
This course is one another step forward towards my data science specialization. I'm really enjoying my study about data Science.
By Dimitrios G•
Mar 03, 2017
Challenging and very educational. Needs a better explanation on the final peer assignment. Otherwise a great overall experience!
By CAPO-CHICHI F N•
Apr 14, 2020
I am very happy to have done this course, I discovered something new and I have new skills in Data Analysis thank you very much
Oct 15, 2017
It gave me an overview of how to getting and cleaning data.The course is best suited for anyone who is a novice in data science
By Massimo M•
Aug 09, 2017
Great course, everything is well explained ant the exercises are challenging enough to really understand what you are studying.
By Shelby B•
Apr 26, 2017
I am so glad this course was available. Otherwise, I would noy have had an opportunity to build a data set in my everyday work
By Brayan S O P•
Apr 19, 2020
It is an excellent course with all the basics and more that one needs to get started with the acquisition and cleaning of data
By Ajinkya D•
Nov 27, 2016
Good course material. A very good project at the end of the course that gave an idea about cleaning a real life huge dataset
By KELVIN H•
Mar 25, 2018
good course for learning about tidy data. But have to say that the instructions for the coursework is not exactly very clear.
By Igor T•
Jan 08, 2017
Really great course which helps to understand basics of data tidying. I've also enjoyed regex explanation, it's really clear!
By Victor A d S P•
Dec 12, 2019
Great course, some background needed. If you are taking the Data Science specialization program, then this is a great catch.
By William H•
Aug 05, 2019
Thank you for the case study, very valuable to me to see how you downloaded all the data and began your exploratory analysis
By Bill S•
May 25, 2017
I greatly enjoyed this course and I really got a lot of hands-on practice that I can apply in a real-world work environment.
By Jim M•
Apr 26, 2020
The content is very important when working with Big Data, yet I think JHU is unique in the importance paid to the concepts.
By Sebastian O V•
Aug 06, 2018
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
By James L J J•
Dec 26, 2019
The Value of the course is in the course projects. I found that working through them really accelerated the understanding.
By xun y•
Jul 10, 2017
Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.