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 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
By Massimo M
•Aug 9, 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 O
•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 8, 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 5, 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 6, 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.
By 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.
By Michael G
•Jul 3, 2023
Toller Kurs.
Die Übersetzung ins deutsche ist nicht immer perfekt, dennoch konnte ich den Kurs verstehen und abschließen.
By David R
•Sep 3, 2018
Great course covering a wide range of data types likely to be encountered in the field of data science. Well explained.
By 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.
By Andrés H V
•Jun 28, 2020
I believe it was a very good course ,challenging and interesting. As a beginner in Data Science and R I learned a lot.
By Cathryn S
•Jan 2, 2017
A good course, which helped me understand how to get data off the web and from other sources, and improved my R skills
By Nelson S S
•Nov 10, 2020
Excelente Curso.
Muchas gracias por compartir sus conocimientos y el gran aporte que hacen en éstas épocas de pandemia
By 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
By Pitchayen S
•Feb 14, 2017
Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.
By Anastasia T
•Oct 19, 2016
Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.
By Cristóbal A
•Apr 2, 2016
Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.