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Avis et commentaires pour d'étudiants pour Obtenir et trier des données par Université Johns-Hopkins

4.5
étoiles
7,938 évaluations
1,314 avis

À propos du cours

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....

Meilleurs avis

HS

2 mai 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

25 oct. 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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926 - 950 sur 1,277 Avis pour Obtenir et trier des données

par Matt C

22 déc. 2016

This course was okay, but projects required much more in depth information than the course materials provided.

par Edén S

4 juil. 2020

Very interesting course where we learn the methods to get data from the web, clean data and getting it clean.

par EzzEddin A

22 févr. 2018

This course is brilliant, but I expected more exercises to master more commands in R mentioned in the course.

par Stephen K

8 avr. 2017

Great info on accessing data from multiple sources. Also some excellent teaching on relevant R code modules.

par Thiago Y

30 août 2020

This part of the specialization is very important since 70% of a data scientist work is get and clean data.

par Nikita Z

21 mai 2020

I tried my best to the best, certain things were little complicated to understand but it was worth learning

par Agatha L

16 août 2017

The content choice is fantastic - introduced a lot of great tools - albeit somewhat rushed in presentation.

par Gianluca M

16 févr. 2017

Very good place to learn very important tools like dyplr and tidyr to access and clean from several formats

par Sharon A

15 avr. 2018

Allows you to deepen your knowledge in R how to get data. The final work was challenging, but possible :-)

par Blazej M

12 nov. 2017

Nice course. Far easier than R-Programming. Could be refreshed to match tidyverse workflow. Otherwise OK.

par Dimitris A

30 nov. 2018

The assignments are sometimes poorly explained. Other than that this is a solid and very useful course.

par Marcel A G

8 nov. 2018

It was a great course, however I had a bit of confusion when trying to understand the final assignment.

par Tri B

1 avr. 2022

This course is quite challenging but it provides me basic idea of tiny data which is very helpful.

par Jean-Philippe M

20 mai 2019

Great course but would benefit of more hands on exercises done by the teacher during the lectures.

par Martin L

5 juin 2019

Overall very good but the class does not teach enough to make the course work easy to figure out.

par Ryo I

12 févr. 2018

I want to learn how to make an efficient codebook and README.

Using Github is a bit hard for me.

par Hani M

10 août 2016

awesome course, will require a lot of reading and re-reading though - mainly for the R part.

par Holger B

7 févr. 2016

Content is good, but the delivery could be improved (email alerts, assessment feedback, etc)

par V K V

18 mai 2022

I would like to have notes or PPT related to this course it will be better if u share that

par Cruz C

12 août 2017

This hands on project requires to put in practice all R concepts from the previous courses.

par Peggy C

22 mai 2017

The course seems pretty simple but the content is condensed and really relevant. A must do.

par Rakesh

10 avr. 2016

The Final Project was excellent. Really satisfying upon completion. Course was good aswell.

par mark t

24 févr. 2017

This is a fantastic course. Well designed and incredibly useful as far as course content.

par Boitumelo T

21 juil. 2021

T​he course is very informative and quite challenging for one starting the Data Science.

par LEYTON V H E

10 sept. 2020

las actividades evaluativa son mucho mas difíciles que lo que se presenta en los videos.