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Getting and Cleaning Data(으)로 돌아가기

존스홉킨스대학교의 Getting and Cleaning Data 학습자 리뷰 및 피드백

4.5
별점
7,929개의 평가
1,311개의 리뷰

강좌 소개

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....

최상위 리뷰

HS

2020년 5월 2일

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

2016년 10월 25일

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.

필터링 기준:

Getting and Cleaning Data의 1,274개 리뷰 중 951~975

교육 기관: Mauricio E F

2017년 8월 27일

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

교육 기관: Karan R

2016년 7월 14일

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

교육 기관: Ben K

2016년 4월 25일

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

교육 기관: Nataliya R

2015년 12월 16일

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

교육 기관: ERNESTO L C

2020년 9월 26일

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

교육 기관: Yusong Z

2020년 5월 24일

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

교육 기관: Jigar P

2018년 4월 9일

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

교육 기관: SHETU R

2019년 3월 22일

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

교육 기관: Marc S T

2017년 1월 3일

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

교육 기관: Lakshay S

2019년 7월 3일

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

교육 기관: Abdallh A

2019년 12월 18일

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

교육 기관: Shekhar B

2018년 3월 25일

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

교육 기관: Ioannis S

2016년 3월 18일

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

교육 기관: Ryan B

2018년 3월 30일

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

교육 기관: Thành N

2021년 11월 21일

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

교육 기관: Fede N

2016년 2월 14일

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

교육 기관: Anush M

2016년 12월 12일

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

교육 기관: Markus K

2016년 4월 1일

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

교육 기관: Praveen k

2018년 9월 9일

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

교육 기관: Mike W

2018년 1월 16일

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

교육 기관: Victor R

2016년 3월 28일

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

교육 기관: arrowif

2020년 2월 9일

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

교육 기관: Charlie d T

2017년 6월 24일

some shortcuts on the viodes makes the replication of work difficult

교육 기관: Hiva P

2018년 2월 26일

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

교육 기관: Joshua K

2020년 11월 13일

The course project is too vague. Perhaps this is done on purpose.