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Opiniones y comentarios de aprendices correspondientes a Getting and Cleaning Data por parte de Universidad Johns Hopkins

6,090 calificaciones
946 revisiones

Acerca del 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....

Principales revisiones


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.


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.

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1 - 25 de 908 revisiones para Getting and Cleaning Data

por THI A A

Feb 17, 2019

Swirl practice in for Getting and Cleaning Data in this class is terrible. Most of my code working fine in R and R studio but Swirl would tell me "That's not the answer I'm looking for, try again" Then I type "skip()" Swirl will give me the exact answers that I just typed earlier.

por Anthony J M

Feb 01, 2019

There is a huge disconnect with the material and the HAR dataset exercise. I would suggest that there is some help with smaller exercises to help explain how to complete it. Yes, I know you're supposed to do research to help figure out problems, and I have. As a matter of fact, I have taken other courses on data wrangling to be able to figure out this problem. Merging two datasets makes this problem very confusing. Why can't you help guide students through a similar problem, instead of throwing to the fire?

por Mohammad A A

May 13, 2019

There's too much of a jump from the theory to the practice. I had a difficult time understanding what was being asked of me.

por Bhawesh S

Apr 04, 2019

The course is good but the only problem is there is no explanation on how to solve different problems. there should be a live example of problems so people who have some trouble can get through

por Moshe P

Mar 14, 2019

The material in this course is very condensed. Data Table lecture was very much a copy of someone else' information on the web and was so terse, I would imagine even people from programming backgrounds had had to listen to it many times just to understand what was going . Expect to put in good 8-10 hours a week into this course if you want to become proficient in course' material.

por Ishwarya M

Jun 21, 2019

The course content as well as the assessments are very good. I would recommend this course for everyone who wants to learn Data science

por Ivo G G V

Jun 20, 2019

It needs an update on some libraries.

por Meritxell A L

Jun 17, 2019

I find it very challenging and I learned a lot.

por William B B

Jun 12, 2019

Excellent course. I've already used some of the techniques learned here. It's very applicable to those in o

por Alex B

Jun 12, 2019

Supperb. Exactly what I needed.

por Rohit A

Jun 12, 2019

Nice course to understand the deep insight in understanding the concept of the data cleaning in R.

por Marta R

Jun 12, 2019

I think the course in general is really good. The videos are very useful and although the subjects are not that intuitive, I find the materials very clear. The only negative point I can find is the fact that the quizzes are much harder than the final project and a bit to complicated!

por Robert J C

Jun 10, 2019

Good to play with R for making tidy data.

por JUYU K

Jun 09, 2019

The project/assignment sometimes is not too clear on what to do.

por Andrew K

Jun 09, 2019

The class could have better uniformity.

por Martin L

Jun 05, 2019

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

por Diego A Q

Jun 03, 2019

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

por Nick C

May 30, 2019

Too much outdated content.

por 燕欣

May 29, 2019

the project is good!


May 26, 2019

good course

por Amy B P

May 25, 2019

The assignment was quite challenging bu the course overall was very good. The course was structured very well.

por Nino P

May 24, 2019

A bit tough course with topics of getting the data since I don't know much about file types, but cleaning part is a must do for every data scientist. dplyr and tidyverse is the base of R and nowadays I only use dplyr for my data wrangling. Highly recommendable course and specialization.

por Kelly S

May 22, 2019

I really liked this course and believe that my work, although seemingly noob-ish, will get much better as I see others works from the peer review and examples noted in the lessons.

por Jean-Philippe M

May 20, 2019

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

por Marina K

May 17, 2019

This course was very helpful and easy to follow.