Comentários e feedback de alunos de Obtenção e Limpeza de Dados da instituição Universidade Johns Hopkins
Sobre o curso
Melhores avaliações
HS
2 de mai de 2020
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.
BE
25 de out de 2016
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.
251 — 275 de 1,274 Avaliações para o Obtenção e Limpeza de Dados
por Keidzh S
•12 de mar de 2018
This course is absolutely fantstic education. More practice tasks will make it better in my opinion.
por Quiniou C
•16 de set de 2017
This course is very interesting, we are starting to work on how to transform dataset into tidy data.
por Rohit A
•12 de jun de 2019
Nice course to understand the deep insight in understanding the concept of the data cleaning in R.
por Asif M A
•18 de abr de 2016
A good start for data science course. It is very essential to cleanse data before start analyzing.
por Admet Z
•7 de nov de 2017
It was a bit harder, than Course 2 but still I was able to finish it and want to learn even more.
por Sravan K
•28 de mai de 2017
It's very nice course and material is very good. The quiz is very challenging. Thanks to coursera
por Sreedharrao R
•6 de fev de 2016
Nitty gritty of organizing the data in to a form where it can be used for more complex analysis.
por Rosane H G
•7 de set de 2020
Very good and hands-on course for those willing to work with database construction and analysis.
por juan p d
•15 de mai de 2016
i apprecciate the learning by doing and the lot of support that the staff and classmates provide
por Manuel M M
•9 de set de 2019
Very practical and useful. I really enjoyed doing the test and learning a lot of R programming
por Sérgio A V G P
•6 de jun de 2016
Excelent course. It is a great oportunity to develop the aknowkedge in R and System analysis.
por Hector M
•19 de mai de 2016
Great way to exercise and practice something that is often neglected in data science courses.
por Alfonso L
•19 de mar de 2020
Need to take some time to learn. A lot of stuff in so short period of time but really worthy
por Hariharan D
•13 de jul de 2017
Excellent course. Interesting to learn through this experiential hands-on pedagogy approach.
por Rodrigo C
•11 de out de 2017
Se enseña el uso de herramientas muy útiles a la hora de transformar raw data en tidy data.
por Jhon A R G
•3 de ago de 2020
Es un curso que no se hace pesado, ya que se explican las temáticas con mucha naturalidad.
por Thiago M
•12 de ago de 2019
Course material and projects help a lot in learning and improving data analysis techniques
por José E T
•5 de ago de 2017
Very good course. Taught at the correct depth. He added a lot of knowledge to my training.
por Eric F
•6 de nov de 2016
Excellent cours pour la mise en œuvre de méthodes robustes sur la préparation des données.
por Gayathri N
•7 de mai de 2020
Good course that helped to get the skill of reading and different ways to work with Data.
por Сетдеков К Р
•27 de set de 2018
Helped a lot form my understanding of a good workflow for data collection and processing.
por Lee W
•4 de out de 2017
Great course to introduce you to the various methods of loading and processing data in R.
por Ryan H
•23 de set de 2017
I really enjoyed this course. The instructors were good and the assignment was enjoyable.
por Alessandro P
•9 de fev de 2016
Great course!
I think that cleaning the data in the right way is the key of data science.
por Patrícia A F
•6 de abr de 2019
Great Course for you to learn in more detail how data processing works in Data Science.
Coursera Footer
