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

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308 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

MV
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.

KV
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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301 - 303 de 303 revisiones para The R Programming Environment

por João G C

1 de jun. de 2020

The classes are not super clear, and there really isn't much support for learners facing bugs.

por JEFFIN S

28 de sep. de 2020

lots of problem with swirl use unable to complete

por Bud P

21 de abr. de 2021

the worst experience