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Opiniones y comentarios de aprendices correspondientes a The R Programming Environment por parte de Universidad Johns Hopkins

1,121 calificaciones
311 reseña

Acerca del Curso

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources....

Principales reseñas

25 de dic. de 2018

Very Very Rigorous Course for a beginner on R language and because of its nature, after completing just one course, I feel like I have gained a lot of knowledge and also familiarity with R language.

17 de jun. de 2019

A very good course to read and get the valuable content of R language. This is for the students who want to learn and practice the basic and some intermediate concepts of data manipulation.

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101 - 125 de 306 revisiones para The R Programming Environment

por Erol K

1 de dic. de 2017

Following the course all along with swirl was highly efficient.

por Erich F G

28 de oct. de 2018

I keep learning new things with these courses. Very Valuable.

por Barton H

21 de feb. de 2017

Well thought out. Learnt some new approaches to common tasks.

por Siddhesh S

27 de may. de 2019

Excellent Course, each and every concept is well explained.

por Sendhil K

16 de oct. de 2016

An excellent introduction to the R-Programming Environment!

por Tripti R

28 de jul. de 2021

Best part was that I could learn this course practically

por Juan C L G

14 de mar. de 2017

Muy buen curso introductorio de R. Altamente recomendado

por Amanyiraho R

21 de sep. de 2020

I had learnt R before but I learnt very many new things

por Nitin S

15 de ene. de 2019

Brilliant course to get the basics of data wrangling

por Low W

7 de ago. de 2017

Great introduction, practice, and archival of notes!

por Rajeev A

11 de mar. de 2018

This is a very good course. We need more practise.

por Carlos C

28 de may. de 2017

Easy, well fundamented course. Mentoring is great!

por Krzysztof K

19 de jul. de 2017

Nice, it will force you to workout using pipes...

por Deliang L

18 de ene. de 2017

I am a newer. I think this class is very helpful!

por Johnatan T

10 de ago. de 2017

This course is awesome! I learned a lot from it.

por Jian S

4 de dic. de 2019

Good course. And the tests are really rewarding

por Max Q

12 de nov. de 2017

it is a good course, which I learnt a lot from.

por Sarath R R

23 de ene. de 2017

Nice course and well explained through Swirl()

por Izandro M M

25 de jun. de 2017

the great reward comes with the great effort

por Sumantra B

18 de may. de 2017

Good Course. Nicely structured and organized

por Ronghai Z

16 de may. de 2017

Very good material and good exercise! Solid!


11 de may. de 2020

Must do course for tidyr and dplyr package

por Ivan Y P I (

7 de dic. de 2018

The teaching is very practical. Apprciate

por Simone S

3 de feb. de 2018

Optimal for who is starting working with R

por Jaydrath B

16 de sep. de 2017

Great Instructor, content and a text book