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ジョンズ・ホプキンズ大学(Johns Hopkins University) による The R Programming Environment の受講者のレビューおよびフィードバック

4.4
stars
910件の評価
237件のレビュー

コースについて

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....

人気のレビュー

MV

Dec 26, 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

Jun 18, 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.

フィルター:

The R Programming Environment: 226 - 232 / 232 レビュー

by Trenton H

Apr 04, 2017

There's not much substance. Also, considering there is not video the course seems very non-interactive. Its nice to see the instructors speak and work through examples. Hoping this course was just a quick primer for the R newbies.

by BenT

Jul 11, 2018

The free book R for Data Science by Garrett Grolemund andHadley Wickham is a much better structured introduction! see http://r4ds.had.co.nz/

by savvas s

Aug 28, 2017

just links to a webpage... no support from the mentors no support form coursera... you can use your money more wisely..

by Christopher M P

Oct 26, 2019

Mostly good, but 2-year-old errors in a swirl assignment wasted more than a day's work

by Alexander D H

May 15, 2018

Felt lost during the final, the course was not well suited to the end quiz

by Arthur G

Jun 14, 2017

Too basic.

by Robert L

Dec 02, 2019

I had to drop out because of technical issues. A week 2 issue that is documented in the bulletin board had no clear resolution. After several months of trying to figure out the issue for weeks, I determined that the course wasn't worth extra time and money being spent.