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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

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.

DH

1 févr. 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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226 - 250 sur 1,278 Avis pour Obtenir et trier des données

par Matheus L N

6 juin 2018

was a hard module for whose isn't a programmer, but was well done structureted to easy learning with hard studying

par ayush j

18 avr. 2018

Many tricks and tips tools, many good functions. its really way completing my need on R at initial level i needed.

par Ekta R

27 juin 2017

I am very much enjoyed the course. However, a lot of dedication is required as a beginner to complete this course.

par Aman G

15 juin 2017

Really helped me learn the different sources of acquiring data into R and methods to transform data into tidy data

par Medha B

22 sept. 2020

Really great course and i feel a necessary one as it connects and covers many points of the previous 2 courses.

par 坂本幹次

8 sept. 2020

the course provide useful functions and methods and tell us why we should use them in a way easy to understand.

par Francisco M

12 juil. 2020

A very demanding course. It took me more than a month to end it but It was worth the effort. I learned a lot.

par Thomas G

6 juin 2020

Each quiz made me learn something new. The final assignment was just the right amount of challenge for a MOOC.

par AMY B P

25 mai 2019

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

par Marcus V M d S

29 mai 2017

Learned a lot, manipulating real data sets to produce "tidy" data sets, suitable for analysis. A great course!

par VIVEK R

5 juin 2016

Its really help me a lot to build up my basic concept and now data wrangling is quit bit easy for me.

Thanks :)

par William B B

12 juin 2019

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

par Ritayan G

30 mai 2020

At first sight seemed very easy but the assignments and quizzes are really challenging. Overall nice course.

par Deyban P

12 oct. 2016

Great course, you learn a lot of ways to find data and improve other skills as regex and the use of "dplyr".

par Damian

8 mai 2017

Take it twice if needed, do not go pass this point until the science behind this course is well understood.

par ZAMI K

21 avr. 2020

If you really want to learn, there is no better option than these courses of Data Science Specialization.,

par Michael S

26 avr. 2016

Fantastic knowledge cleverly delivered. This course adds structure and polish to your data munging skills.

par Yasel G S

4 août 2016

This course was very important for my work. I learned so much and I want to say thanks to the professors.

par Jigar P

29 janv. 2019

this course is a hands of this specialization in R.

this hands use to play with a raw and tidy data in R.

par Edwin L A

31 juil. 2017

He aprendido muchísimo pero sobre todo he adquirido estrategias para realizar un buen análisis de datos.

par Abhimanyu B

2 janv. 2017

Teaches a crucial and often overlooking step in the data analysis workflow. Brilliant tips and insights!

par Francisco M R O

28 nov. 2018

This course was very good, I learned a lot of useful things about R and how processed data should look.

par Sandhya A

23 févr. 2018

I have learnt a lot. Overall content is great ,in a small span of time I did learn few good techniques.

par Enlik

6 janv. 2019

Great course with detailed exercise about what's most important task in Data Science, "Cleaning Data"

par Pieter v d V

29 janv. 2018

Tells you the clean data standards and how to transmute data to fit the description. Very accessible.