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

4.5
étoiles
7,929 évaluations
1,311 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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951 - 975 sur 1,274 Avis pour Obtenir et trier des données

par Mauricio E F

27 août 2017

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

par Karan R

14 juil. 2016

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

par Ben K

25 avr. 2016

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

par Nataliya R

16 déc. 2015

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

par ERNESTO L C

26 sept. 2020

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

par Yusong Z

24 mai 2020

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

par Jigar P

9 avr. 2018

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

par SHETU R

22 mars 2019

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

par Marc S T

3 janv. 2017

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

par Lakshay S

3 juil. 2019

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

par Abdallh A

18 déc. 2019

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

par Shekhar B

25 mars 2018

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

par Ioannis S

18 mars 2016

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

par Ryan B

30 mars 2018

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

par Thành N

21 nov. 2021

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

par Fede N

14 févr. 2016

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

par Anush M

12 déc. 2016

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

par Markus K

1 avr. 2016

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

par Praveen k

9 sept. 2018

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

par Mike W

16 janv. 2018

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

par Victor R

28 mars 2016

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

par arrowif

9 févr. 2020

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

par Charlie d T

24 juin 2017

some shortcuts on the viodes makes the replication of work difficult

par Hiva P

26 févr. 2018

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

par Joshua K

13 nov. 2020

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