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