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Bewertung und Feedback des Lernenden für Getting and Cleaning Data von Johns Hopkins University

7,938 Bewertungen

Über den Kurs

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....



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.


1. Feb. 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.

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951 - 975 von 1,277 Bewertungen für Getting and Cleaning Data

von Marco C

27. Nov. 2017

Very good course. I would have liked to learn something about missing value treatment.

von Alina S

17. Okt. 2017

First two weeks were not really valuable for me, sorry. But the las two actually were.

von Mauricio E F

27. Aug. 2017

The videos are not so much related with the assigments but in overall is a good course

von Karan R

14. Juli 2016

Sometimes get a bit boring, though the upcoming courses in the series are real-awesome

von Ben K

25. Apr. 2016

A reasonable course. Could use a little more focus on dynamically creating a codebook.

von Nataliya R

16. Dez. 2015

Very useful course. It's worth to add slides and to make sound of lectures bit louder.


26. Sep. 2020

Me han gustado mas los dos anteriores de la especialidad pero este tambien està bien

von Yusong Z

24. Mai 2020

Learn lots of useful skills, but the lectures are just too quick to fully understand

von Jigar P

9. Apr. 2018

Things were vague when assignment was given but that actually helped me learn better


22. März 2019

Very vaguely explained.Not much information in the slides about the topics covered.

von Marc S T

3. Jan. 2017

Great lecture, easy to follow with R studio. Assignment are moderately challenging.

von Lakshay S

3. Juli 2019

Course Project was nice.It made me revise the concepts taught in the entire course

von Abdallh A

18. Dez. 2019

Great content. Would have been better with more resources in addition to videos.

von Shekhar B

25. März 2018

It was a nice experience to learn the cleaning part with library dplyr and tidyr

von Ioannis S

18. März 2016

Maybe some more notes about the quizzes and the course project would be helpful.

von Ryan B

30. März 2018

Excellent, though I found the wording for the final coursework quite confusing.

von Thành N

21. Nov. 2021

This course is amazing. But I hope there is some exercises instead of quizzes.

von Fede N

14. Feb. 2016

Course is great! Many examples are given on how to get data in various format.

von Anush M

12. Dez. 2016

Kind of slow in the beginning but picked up to the end to give me a challenge

von Markus K

1. Apr. 2016

The course was quite good, but the last assignment was really much too vague.

von Praveen k

9. Sep. 2018

good course to start with cleaning data and how to get data from resources.

von Mike W

16. Jan. 2018

Good overview of using R (and dplyr) to clean data into "tidy" dataframes.

von Victor R

28. März 2016

Helpful, but more than half of the knowledge is in the swirl tutorial.

von arrowif

9. Feb. 2020

good course, if there are more text mining content, it will be better

von Charlie d T

24. Juni 2017

some shortcuts on the viodes makes the replication of work difficult