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 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.