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.
By Michael A C R•
Fue una experiencia maravillosa, llena de actividades y lecciones muy útiles para obtener y limpiar bases de datos. Muy provechoso.
By Rumian R•
Massively underrated - I appreciated this course and I learned a lot. I now find it baffling how taken-for-granted data tidying is.
By Georgios P•
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•
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•
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•
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•
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•
This course is one another step forward towards my data science specialization. I'm really enjoying my study about data Science.
By Dimitrios G•
Challenging and very educational. Needs a better explanation on the final peer assignment. Otherwise a great overall experience!
By CAPO-CHICHI F N•
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
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•
Great course, everything is well explained ant the exercises are challenging enough to really understand what you are studying.
By 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
By 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
By 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
By KELVIN H•
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•
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•
Great course, some background needed. If you are taking the Data Science specialization program, then this is a great catch.
By 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
By 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.
By 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.
By Sebastian O V•
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
By James L J J•
The Value of the course is in the course projects. I found that working through them really accelerated the understanding.
By Xun Y•
Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.
By 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.