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Voltar para Obtenção e Limpeza de Dados

Comentários e feedback de alunos de Obtenção e Limpeza de Dados da instituição Universidade Johns Hopkins

7,939 classificações

Sobre o curso

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....

Melhores avaliações


2 de mai de 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.


25 de out de 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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301 — 325 de 1,278 Avaliações para o Obtenção e Limpeza de Dados

por Vitalii S

20 de jul de 2017

This course gave me an insights regarding data cleaning. Very grateful, thank you!

por Karthic C

17 de jul de 2017

Well put together course. Happy and eager to finish the rest of the specialization

por Thor R

18 de jan de 2019

Useful, the course is as much an introduction to R- part 2 as about cleaning data

por Raunak S

5 de out de 2018

excellent course to get started with to learn the basic concepts of data tidying.

por Sunder R V

27 de ago de 2017

Enjoyed the course and learnt quite a few things in my quest for "Data Analytics"

por Roberto D

21 de jun de 2017

Very useful for deciding best methods pulling data and consistently massage data.

por Jairo A V G

25 de jun de 2020

an excellent course that allowed me to expand my knowledge and learn new things.

por Premkumar S

27 de set de 2018

Excellent course with some great exercises put together that are very practical.

por xiang

31 de mar de 2016

Nice one. I would like to have some more information like getting data from API

por Waeibrorheem W

12 de out de 2020

It was an amazing learning experience. I really learn so much from this course.

por Gustavo d P P

13 de set de 2019

Muito bom!

Aprendi a usar dplyr e agora minha vida se tornou muito mais fácil!!!

por Yi-Yang L

8 de mar de 2017

Good! Actually I think this course is useful no matter what other people think.

por Bruno

4 de jun de 2016

It's a good course, with right amount of exercises and well explained classes.

por Prohnițchi V

2 de out de 2017

Great course. Have learned a lot and discovered powerful tools and approaches.

por Matthew

22 de fev de 2017

Solid course overall which covers in a high level many data gathering methods.

por Bill K

10 de fev de 2016

Great course with good lectures and labs. Don't forget the swirl assignments!

por Diego A Q

3 de jun de 2019

Very useful for every day data arrangements and data downloads from Internet.

por Siva M

6 de dez de 2018

It is great time. The course content was amazing. I learnt lot of new things.

por Joseph G N

5 de nov de 2018

The course has amazing exercise in every week. You can learn a lot with them.

por Raphael P

23 de jun de 2018

I started with this course to understand the logic of ordering of the series.

por Gustavo P F d X

15 de jan de 2017

Wonderful course for those who are keen on expand their knowledge n R skills.

por Bruno K

17 de fev de 2016

Great course! The course content is very good and the length is appropriated.

por Marco M

9 de out de 2020

Really good course! It could be even better with more labs in the beginning.

por Scott D

30 de dez de 2018

This course is great. The tactical skills in R you really need on the job.

por Jessica R

3 de abr de 2018

Very useful course on how to prepare data so it can more easily be analyzed.