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 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
By Nicolas H•
El curso es excelente, es muy claro y te da herramientas muy útiles, con mucha aplicación en otros lenguajes de programación. Muy recomendable
By 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.
By 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.
By 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.
By 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)...
By Daniel S•
Very informative and useful! You learn a lot specially through the (last) assignment(s)! Very happy with the course, materials and subjects.
By 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.
By 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!
By 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.
By Gowtham B•
Excellent course to learn about data pre-processing techniques and data science. Really helpful, if you wish to become a data scientist.
By Jheroen P•
Very useful course. I suggest taking this course straight after R programming and before taking any other courses in the specialization.
By 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
By 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!
By 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.
By Ricardo L•
The most important information I learned was the tidy data standard. Very useful and clear. It will make the analysis process easier.
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!