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