学生对 Johns Hopkins University 提供的 Getting and Cleaning Data 的评价和反馈
课程概述
热门审阅
HS
May 2, 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.
BD
Oct 25, 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 - Getting and Cleaning Data 的 275 个评论（共 1,313 个）
创建者 Jigar P
•Jan 29, 2019
this course is a hands of this specialization in R.
this hands use to play with a raw and tidy data in R.
创建者 Edwin L A
•Jul 31, 2017
He aprendido muchísimo pero sobre todo he adquirido estrategias para realizar un buen análisis de datos.
创建者 Abhimanyu B
•Jan 2, 2017
Teaches a crucial and often overlooking step in the data analysis workflow. Brilliant tips and insights!
创建者 Francisco R
•Nov 28, 2018
This course was very good, I learned a lot of useful things about R and how processed data should look.
创建者 Sandhya A
•Feb 23, 2018
I have learnt a lot. Overall content is great ,in a small span of time I did learn few good techniques.
创建者 Enlik
•Jan 5, 2019
Great course with detailed exercise about what's most important task in Data Science, "Cleaning Data"
创建者 Pieter v d V
•Jan 29, 2018
Tells you the clean data standards and how to transmute data to fit the description. Very accessible.
创建者 Muhammet A
•Apr 21, 2019
I wholeheartedly enjoyed this course. It goes from very simple, to pretty advanced stuff at the end.
创建者 Keidzh S
•Mar 11, 2018
This course is absolutely fantstic education. More practice tasks will make it better in my opinion.
创建者 Quiniou C
•Sep 16, 2017
This course is very interesting, we are starting to work on how to transform dataset into tidy data.
创建者 Rohit A
•Jun 12, 2019
Nice course to understand the deep insight in understanding the concept of the data cleaning in R.
创建者 Asif M A
•Apr 18, 2016
A good start for data science course. It is very essential to cleanse data before start analyzing.
创建者 Admet Z
•Nov 7, 2017
It was a bit harder, than Course 2 but still I was able to finish it and want to learn even more.
创建者 Sravan K
•May 27, 2017
It's very nice course and material is very good. The quiz is very challenging. Thanks to coursera
创建者 Sreedharrao R
•Feb 6, 2016
Nitty gritty of organizing the data in to a form where it can be used for more complex analysis.
创建者 Rosane H G
•Sep 7, 2020
Very good and hands-on course for those willing to work with database construction and analysis.
创建者 Juan P A D
•May 14, 2016
i apprecciate the learning by doing and the lot of support that the staff and classmates provide
创建者 Manolo M
•Sep 9, 2019
Very practical and useful. I really enjoyed doing the test and learning a lot of R programming
创建者 Sérgio A V G P
•Jun 6, 2016
Excelent course. It is a great oportunity to develop the aknowkedge in R and System analysis.
创建者 Hector M
•May 19, 2016
Great way to exercise and practice something that is often neglected in data science courses.
创建者 Alfonso L
•Mar 19, 2020
Need to take some time to learn. A lot of stuff in so short period of time but really worthy
创建者 Hariharan D
•Jul 13, 2017
Excellent course. Interesting to learn through this experiential hands-on pedagogy approach.
创建者 Rodrigo C
•Oct 11, 2017
Se enseña el uso de herramientas muy útiles a la hora de transformar raw data en tidy data.
创建者 Anonymous
•Apr 13, 2024
Great course. Necessary to understand the need to clean raw data sources before analysis.
创建者 Jhon A R G
•Aug 3, 2020
Es un curso que no se hace pesado, ya que se explican las temáticas con mucha naturalidad.