Oct 26, 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.
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.
교육 기관: 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!
교육 기관: 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.
교육 기관: 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!
교육 기관: 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.
교육 기관: Shaikh M I•
Nov 22, 2016
This course is really helpful and very practical. Provides industry standard information and adheres to the scientific principles.
교육 기관: 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.
교육 기관: Dimitrios G•
Mar 03, 2017
Challenging and very educational. Needs a better explanation on the final peer assignment. Otherwise a great overall experience!
교육 기관: 倪育飞•
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
교육 기관: Massimo M•
Aug 09, 2017
Great course, everything is well explained ant the exercises are challenging enough to really understand what you are studying.
교육 기관: 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
교육 기관: 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
교육 기관: 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.
교육 기관: 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!
교육 기관: 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.
교육 기관: 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
교육 기관: 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.
교육 기관: Sebastian O V•
Aug 06, 2018
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
교육 기관: 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.
교육 기관: xun y•
Jul 10, 2017
Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.
교육 기관: João A P B•
Feb 25, 2017
Amazing course! Even after a few years using R in a daily basis, I still learned quite a bit of new / useful information.
교육 기관: David R•
Sep 03, 2018
Great course covering a wide range of data types likely to be encountered in the field of data science. Well explained.
교육 기관: Anne M•
Jan 10, 2016
Really great class. I found the lectures easy to follow. The quizzes and homework helped me master the course material.
교육 기관: Cathryn S•
Jan 02, 2017
A good course, which helped me understand how to get data off the web and from other sources, and improved my R skills
교육 기관: FARZAD R•
Feb 26, 2017
This course is very interesting, useful and practical
I appreciate for all of efforts of my professors in this course
교육 기관: Pitchayen S•
Feb 15, 2017
Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.