Learner Reviews & Feedback for Getting and Cleaning Data by Johns Hopkins University
About the Course
Top reviews
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.
DH
Feb 1, 2016
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.
251 - 275 of 1,311 Reviews for Getting and Cleaning Data
By 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.
By Edwin L A
•Jul 31, 2017
He aprendido muchísimo pero sobre todo he adquirido estrategias para realizar un buen análisis de datos.
By Abhimanyu B
•Jan 2, 2017
Teaches a crucial and often overlooking step in the data analysis workflow. Brilliant tips and insights!
By 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.
By 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.
By Enlik
•Jan 6, 2019
Great course with detailed exercise about what's most important task in Data Science, "Cleaning Data"
By Pieter v d V
•Jan 29, 2018
Tells you the clean data standards and how to transmute data to fit the description. Very accessible.
By Muhammet A
•Apr 21, 2019
I wholeheartedly enjoyed this course. It goes from very simple, to pretty advanced stuff at the end.
By Keidzh S
•Mar 12, 2018
This course is absolutely fantstic education. More practice tasks will make it better in my opinion.
By Quiniou C
•Sep 16, 2017
This course is very interesting, we are starting to work on how to transform dataset into tidy data.
By Rohit A
•Jun 12, 2019
Nice course to understand the deep insight in understanding the concept of the data cleaning in R.
By Asif M A
•Apr 18, 2016
A good start for data science course. It is very essential to cleanse data before start analyzing.
By 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.
By Sravan K
•May 28, 2017
It's very nice course and material is very good. The quiz is very challenging. Thanks to coursera
By Sreedharrao R
•Feb 6, 2016
Nitty gritty of organizing the data in to a form where it can be used for more complex analysis.
By Rosane H G
•Sep 7, 2020
Very good and hands-on course for those willing to work with database construction and analysis.
By Juan P A D
•May 14, 2016
i apprecciate the learning by doing and the lot of support that the staff and classmates provide
By Manolo M
•Sep 9, 2019
Very practical and useful. I really enjoyed doing the test and learning a lot of R programming
By Sérgio A V G P
•Jun 6, 2016
Excelent course. It is a great oportunity to develop the aknowkedge in R and System analysis.
By Hector M
•May 19, 2016
Great way to exercise and practice something that is often neglected in data science courses.
By 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
By Hariharan D
•Jul 13, 2017
Excellent course. Interesting to learn through this experiential hands-on pedagogy approach.
By Rodrigo C
•Oct 11, 2017
Se enseña el uso de herramientas muy útiles a la hora de transformar raw data en tidy data.
By Anonymous
•Apr 13, 2024
Great course. Necessary to understand the need to clean raw data sources before analysis.
By Jhon A R G
•Aug 3, 2020
Es un curso que no se hace pesado, ya que se explican las temáticas con mucha naturalidad.