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.
von Han C•
Assignment difficulty is good and practical, however, I took quite a while to understand the raw data structure and the purpose of the assignment.
von Cody W•
Great introduction to scraping information from internet sources and turning complicated data into something that can be visualized and processed.
von Connie H•
Thanks for this course, it's thoughtfully planned and beginners like me were able to produce results according to the topics that challenged us.
von santiago R•
Very good course. Way more exigent than expected but I have the feeling that I got very good grounds, insights and also skills in R proggramming
von Nicolás H•
El curso es excelente, es muy claro y te da herramientas muy útiles, con mucha aplicación en otros lenguajes de programación. Muy recomendable
von Linda J C O•
Me gustó mucho este curso. Todo lo aprendido ha sido muy valioso para cualquier investigación o análisis de datos que se realice en un futuro.
von rahul g•
A very interesting and unique course, for the kind of things it helps to learn are often ignored. It brings the breadth of the theme forward.
von Jack D•
This was my first course with serious data gathering and manipulation. I found some of week 3 challenging, but overall enjoyed the learning.
von Xiaorong L•
Very good contents! But to be honest, the final course project is a bit too easy (I personally enjoyed it because it was not frustrating)...
von Daniel S•
Very informative and useful! You learn a lot specially through the (last) assignment(s)! Very happy with the course, materials and subjects.
von Adi T•
I feel that getting and cleaning data course is highly important to know since this is where 80% of the work in data science is being done.
von Alejandro B G•
WHen i took this course i though i will never apply the knwoledge in here... i was wrong, the basis of a credibly analisis is here. Thanks!
von Glenn W•
Very good course. Dr. Peng did a nice job of presenting the material. The projects and quizzes were challenging as well as educational.
von Gowtham B•
Excellent course to learn about data pre-processing techniques and data science. Really helpful, if you wish to become a data scientist.
von Jheroen P•
Very useful course. I suggest taking this course straight after R programming and before taking any other courses in the specialization.
von Ishwarya M•
The course content as well as the assessments are very good. I would recommend this course for everyone who wants to learn Data science
von Brett M•
Really fantastic even as an experienced R user. This is helping me remould my habits and break some of the bad ones. Thank you so much!
von 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.
von Ricardo L•
The most important information I learned was the tidy data standard. Very useful and clear. It will make the analysis process easier.
von Michael A C R•
Fue una experiencia maravillosa, llena de actividades y lecciones muy útiles para obtener y limpiar bases de datos. Muy provechoso.
von 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.
von Georgios P•
The most crucial part of statistical inference or machine learning is tidy data and this course provides the basic tidy data rules!
von Yanying J•
It's useful and practical! Especially, the swirl excerises offered not only the method, but also a clear example of data cleaning.
von Andrew C•
The class was very interesting and useful, although I would have liked more opportunities to do web scraping in the problem sets.
von Shaikh M I•
This course is really helpful and very practical. Provides industry standard information and adheres to the scientific principles.