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.
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.
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
von Massimo M•
Great course, everything is well explained ant the exercises are challenging enough to really understand what you are studying.
von Shelby B•
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
von Brayan S O P•
It is an excellent course with all the basics and more that one needs to get started with the acquisition and cleaning of data
von Ajinkya D•
Good course material. A very good project at the end of the course that gave an idea about cleaning a real life huge dataset
von KELVIN H•
good course for learning about tidy data. But have to say that the instructions for the coursework is not exactly very clear.
von Igor T•
Really great course which helps to understand basics of data tidying. I've also enjoyed regex explanation, it's really clear!
von Victor A d S P•
Great course, some background needed. If you are taking the Data Science specialization program, then this is a great catch.
von William H•
Thank you for the case study, very valuable to me to see how you downloaded all the data and began your exploratory analysis
von Bill S•
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.
von Jim M•
The content is very important when working with Big Data, yet I think JHU is unique in the importance paid to the concepts.
von Sebastian O V•
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
von James L J J•
The Value of the course is in the course projects. I found that working through them really accelerated the understanding.
von xun y•
Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.
von João A P B•
Amazing course! Even after a few years using R in a daily basis, I still learned quite a bit of new / useful information.
von David R•
Great course covering a wide range of data types likely to be encountered in the field of data science. Well explained.
von Anne M•
Really great class. I found the lectures easy to follow. The quizzes and homework helped me master the course material.
von Andrés H V•
I believe it was a very good course ,challenging and interesting. As a beginner in Data Science and R I learned a lot.
von Cathryn S•
A good course, which helped me understand how to get data off the web and from other sources, and improved my R skills
von Nelson S S•
Muchas gracias por compartir sus conocimientos y el gran aporte que hacen en éstas épocas de pandemia
von FARZAD R•
This course is very interesting, useful and practical
I appreciate for all of efforts of my professors in this course
von Pitchayen S•
Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.
von Anastasia T•
Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.
von Cristóbal A•
Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.
von Suryadipta D•
Very simple and introductory course that teaches the concepts really well. Forms a brilliant specialization course.