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Getting and Cleaning Data に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による Getting and Cleaning Data の受講者のレビューおよびフィードバック



Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data....




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.



Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.

See the videos for general presentation, but use the energy on the excersizes.


Getting and Cleaning Data: 251 - 275 / 1,278 レビュー

by Muhammet A


I wholeheartedly enjoyed this course. It goes from very simple, to pretty advanced stuff at the end.

by Keidzh S


This course is absolutely fantstic education. More practice tasks will make it better in my opinion.

by Quiniou C


This course is very interesting, we are starting to work on how to transform dataset into tidy data.

by Rohit A


Nice course to understand the deep insight in understanding the concept of the data cleaning in R.

by Asif M A


A good start for data science course. It is very essential to cleanse data before start analyzing.

by Admet Z


It was a bit harder, than Course 2 but still I was able to finish it and want to learn even more.

by Sravan K


It's very nice course and material is very good. The quiz is very challenging. Thanks to coursera

by Sreedharrao R


Nitty gritty of organizing the data in to a form where it can be used for more complex analysis.

by Rosane H G


Very good and hands-on course for those willing to work with database construction and analysis.

by juan p d


i apprecciate the learning by doing and the lot of support that the staff and classmates provide

by Manuel M M


Very practical and useful. I really enjoyed doing the test and learning a lot of R programming

by Sérgio A V G P


Excelent course. It is a great oportunity to develop the aknowkedge in R and System analysis.

by Hector M


Great way to exercise and practice something that is often neglected in data science courses.

by Alfonso L


Need to take some time to learn. A lot of stuff in so short period of time but really worthy

by Hariharan D


Excellent course. Interesting to learn through this experiential hands-on pedagogy approach.

by Rodrigo C


Se enseña el uso de herramientas muy útiles a la hora de transformar raw data en tidy data.

by Jhon A R G


Es un curso que no se hace pesado, ya que se explican las temáticas con mucha naturalidad.

by Thiago M


Course material and projects help a lot in learning and improving data analysis techniques

by José E T


Very good course. Taught at the correct depth. He added a lot of knowledge to my training.

by Eric F


Excellent cours pour la mise en œuvre de méthodes robustes sur la préparation des données.

by Gayathri N


Good course that helped to get the skill of reading and different ways to work with Data.

by Сетдеков К Р


Helped a lot form my understanding of a good workflow for data collection and processing.

by Lee W


Great course to introduce you to the various methods of loading and processing data in R.

by Ryan H


I really enjoyed this course. The instructors were good and the assignment was enjoyable.

by Alessandro P


Great course!

I think that cleaning the data in the right way is the key of data science.