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 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
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.
von 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.
von Shashikesh M
•This course is one another step forward towards my data science specialization. I'm really enjoying my study about data Science.
von Dimitrios G
•Challenging and very educational. Needs a better explanation on the final peer assignment. Otherwise a great overall experience!
von 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