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Kursteilnehmer-Bewertung und -Feedback für Getting and Cleaning Data von Johns Hopkins University

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7,525 Bewertungen
1,213 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....

Top-Bewertungen

HS

May 03, 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.

BE

Oct 26, 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.

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901 - 925 von 1,173 Bewertungen für Getting and Cleaning Data

von Mike W

Jan 16, 2018

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

von Victor R

Mar 28, 2016

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

von arrowif

Feb 10, 2020

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

von Charles-Antoine d T

Jun 24, 2017

some shortcuts on the viodes makes the replication of work difficult

von Hiva P

Feb 26, 2018

for me the instruction for peer review exercises was not very clear

von JUYU K

Jun 09, 2019

The project/assignment sometimes is not too clear on what to do.

von naveen k

Aug 16, 2018

The course content must be more in-depth for auditing the course.

von Hai N

Jan 24, 2017

Provide a good introduction to getting data and processing them.

von Andrew W

Mar 19, 2018

Great course for diving deeper into the R programming language.

von marcelo G

Aug 15, 2016

Very well elaborated. Very useful and real exercises and tools.

von Ashish S

May 17, 2016

This would be very effective for my personal skill enhancement.

von 조혜령

Aug 10, 2019

기본적인 내용을 다루어 주어서 좋았습니다.

조금 속도가 빠르긴 했지만, 좋은 강의였다고 생각합니다.

수고하셨습니다.

von 玥 张

Feb 10, 2018

Great course but do not offer sufficient practical exercises.

von Ankush K

May 31, 2017

Not the most exciting course, but definitely worth it/needed.

von Jayce L

Oct 10, 2016

in my opinion, with more details, we could learn more about R

von Federico G

Aug 20, 2019

I think using python would have been a better option than R

von Prashant K

Mar 15, 2018

Videos can be bit more detailed (similar to the R program)

von Hung P

Jun 03, 2020

A little bit out-dated, but very useful. I learned a lot.

von Brett W

Sep 15, 2017

I liked this course, particularly with the SWIRL support.

von Andres M

Feb 18, 2016

Some thing were very dificult and i needed more research

von Erik P

Sep 28, 2016

Great Course!

The Course Project was really challenging.

von Nitin P

Jan 29, 2016

I thoroughly enjoyed the course project. Overall, It

von Raul M G

May 18, 2017

Very interesting and useful for improving knowledge

von Kelly M M

Jul 20, 2017

Great course. Went a little fast, but they all do.

von Björn L

Jul 08, 2019

Good course which covers quite a lot of material!