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Getting and Cleaning Data(으)로 돌아가기

존스홉킨스대학교의 Getting and Cleaning Data 학습자 리뷰 및 피드백

4.6
6,508개의 평가
1,009개의 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

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.

DH

Feb 02, 2016

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.

필터링 기준:

Getting and Cleaning Data의 969개 리뷰 중 101~125

교육 기관: REEK M

Jan 22, 2018

Toghest assignment till now

교육 기관: Andaru

Feb 13, 2016

90% of data science is cleaning, this really gets people accepting that key concept

교육 기관: Raju G

Aug 02, 2017

Excellent learning

교육 기관: diya l

Oct 28, 2016

Excellent !

교육 기관: alexander r

Oct 10, 2016

good intro

교육 기관: BOUZENNOUNE Z E

Mar 03, 2018

Amazing, you get to see almost every aspect of data science.

It is true that you won't get deeepeeeer, but this course allow you to not fear any kind of data science. That's amazing.

교육 기관: Pitchayen S

Feb 15, 2017

Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.

교육 기관: FARZAD R

Feb 26, 2017

This course is very interesting, useful and practical

I appreciate for all of efforts of my professors in this course

교육 기관: Antonis D

Nov 14, 2016

This course it's a great job! There is too much information in here and a great amount of knowledge. I would like to say that in my point of view the current lesson should be updated in more different data sets examples that gives the students the opportunity of learning different kind of ways to manypulate some data. There are some standard ways so it would be great if you expand this.

교육 기관: Herson P C d M

Dec 07, 2016

Excepcional, estes cursos estão abrindo completamente minha mente para novos horizontes, novas possibilidades. Enfim, estou cada dia mais motivado e mais entusiasmado com tudo de novo que tenho aprendido!

교육 기관: Subramanya N

Dec 12, 2017

Nice course. Learnt a lot of tricks

교육 기관: Gbolahan

Sep 07, 2016

Wonderful course. gets you through the basics and beyond in getting and cleaning data from diverse sources. Very well thought and explained. There is a lot to be learnt from this course, and it requires devoting a good amount of time to let the material sink in.

교육 기관: Dhrubajyoti M

May 16, 2017

Course material is good, assignment is better, mentors are the best!

교육 기관: Prashant J

Mar 30, 2017

Thanks

교육 기관: Abhilash V

Jan 11, 2016

A unique course.

교육 기관: Anupam A

Aug 25, 2017

good course

교육 기관: GIDEON O

Nov 25, 2017

Great Course !

교육 기관: M M

Jan 28, 2016

One of the best courses for Data sciences!

교육 기관: Cody W

Feb 28, 2017

Great introduction to scraping information from internet sources and turning complicated data into something that can be visualized and processed.

교육 기관: Сергей Ш

Jul 05, 2016

It was kind of exhausting, but great.

교육 기관: Laurent b

Feb 09, 2018

Very dense course and a lot of things explained...

교육 기관: Amit S

Dec 16, 2015

excellent

교육 기관: santiago R

Jul 26, 2017

Very good course. Way more exigent than expected but I have the feeling that I got very good grounds, insights and also skills in R proggramming

교육 기관: Rafael H G

Mar 21, 2016

Good course to learn how to use R to getting and clening data

교육 기관: Robert N

Feb 09, 2016

Very helpful.