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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

4.5
estrelas
7,938 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

HS

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.

DH

1 de fev de 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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276 — 300 de 1,277 Avaliações para o Obtenção e Limpeza de Dados

por Patrícia A F

6 de abr de 2019

Great Course for you to learn in more detail how data processing works in Data Science.

por Rimi Z

22 de jun de 2018

A great course and you learn exactly what the title says . I found it fun to work on It

por Tine M

14 de nov de 2017

Great course, I've learned a lot about analyzing data sets and creating tidy data sets.

por Robert K

1 de mai de 2017

Fantastic! I find myself using the information I learned in the class on a daily basis.

por Boris B

6 de fev de 2016

Great Course if want to know what data really is and how to handle it in the right way.

por Maxim S

26 de ago de 2020

Thanks, this course was great. It gave me enough knowledge and motivation to go forth.

por Alia E

27 de fev de 2017

Wasn't excited about it. But I've used and re-used the materials for work. Good stuff.

por Tseliso M

2 de fev de 2017

Of the courses I have done so far in the specialization, this was the most practical.

por Carlos M

2 de fev de 2016

Very interesting material and basic knowledge on R to read files and produce tidy data

por GAGAN G

14 de out de 2020

Very nice courses in coursera and fundamental concept are very helping for us. Clear.

por Tomas M

22 de ago de 2017

Excellent course mates! Lots & lots of very useful info & examples! Thanks so much!!!

por Dmytro I

15 de mai de 2017

It's a great course, however, explanations to the final assignment were rather vague.

por sambit c

12 de out de 2016

A great course. Learned a lot. However student has to put an extra effort practicing.

por Kseniia K

3 de mai de 2016

Great course, more difficult than previous two, but also more challenging and useful!

por Wang J

1 de mai de 2016

Great practice for R programming and the MySQL part is extremely helpful for my work.

por leo n

8 de ago de 2019

This is the best course so far. Very challenging project at the end. I learned a lot

por Jorge A B J

25 de jul de 2019

Very nice course! Would defensively recommend to anyone seeking this specialization!

por Puja G

6 de fev de 2018

Very useful to get hands on experience in data science to solve real world problems!

por Stephen A

3 de out de 2020

This course gives all necessary foundations to kick start getting and cleaning data

por Abay J

20 de jan de 2019

Love quizzes and a course project. Working on them develops you as a data scientist

por Ajendra S

29 de ago de 2018

I really liked this course. This course helped me to understand the data wrangling.

por Tiago P F

3 de jan de 2018

Excellent course, with a very important focus on documentation and code versioning.

por jutzhang

26 de jun de 2016

建议更新课程中所涉及函数的使用方法

Please update the using methods of some functions in this lecture.

por Andaru

12 de fev de 2016

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

por Luz M S G

29 de ago de 2020

It was an excellent course. It was challenging but I enjoyed it and learnt a lot.