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.
교육 기관: Sajal J•
Very good course. The end course project was also very good as it gives a good experience in loading and cleaning a real-life dataset.
교육 기관: Ricardo L•
The most important information I learned was the tidy data standard. Very useful and clear. It will make the analysis process easier.
교육 기관: Michael A C R•
Fue una experiencia maravillosa, llena de actividades y lecciones muy útiles para obtener y limpiar bases de datos. Muy provechoso.
교육 기관: 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.
교육 기관: Georgios P•
The most crucial part of statistical inference or machine learning is tidy data and this course provides the basic tidy data rules!
교육 기관: Yanying J•
It's useful and practical! Especially, the swirl excerises offered not only the method, but also a clear example of data cleaning.
교육 기관: Andrew C•
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•
This course is really helpful and very practical. Provides industry standard information and adheres to the scientific principles.
교육 기관: 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.
교육 기관: Shashikesh M•
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•
Challenging and very educational. Needs a better explanation on the final peer assignment. Otherwise a great overall experience!
교육 기관: 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
교육 기관: 倪育飞•
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•
Great course, everything is well explained ant the exercises are challenging enough to really understand what you are studying.
교육 기관: 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
교육 기관: 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
교육 기관: 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
교육 기관: KELVIN H•
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•
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•
Great course, some background needed. If you are taking the Data Science specialization program, then this is a great catch.
교육 기관: 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
교육 기관: 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.
교육 기관: 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.
교육 기관: Sebastian O V•
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
교육 기관: James L J J•
The Value of the course is in the course projects. I found that working through them really accelerated the understanding.