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Avis et commentaires pour d'étudiants pour The R Programming Environment par Université Johns-Hopkins

4.4
étoiles
1,053 évaluations
287 avis

À propos du cours

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....

Meilleurs avis

MV
25 déc. 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 juin 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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201 - 225 sur 280 Avis pour The R Programming Environment

par Brynjólfur G J

15 oct. 2017

Some good functional R training but really missed the videos like in the Data Science specialization

par Jenny T

13 juil. 2017

I think that the explanation of the material should be adopted to people that are not programmers

par Wen H

5 janv. 2017

A very nice introduction to the R programming environment. I learned a lot and it was fun to do!

par Piotr P

19 mars 2020

It is a good introductory course but the description of assignments could be more elaborate.

par Scott W

10 avr. 2017

This was a quick an relevant intro to the getting data and conducting basic manipulations

par David B

31 déc. 2017

I found that the course was a helpful introduction to the R programming environment.

par Jonatan H

29 avr. 2017

Good content, a lot of work loaded in the quiz of the last week, beware of this.

par RIPUNJOY G

4 janv. 2017

Could have been better. Expected some interaction/videos from the mentors.

par Max K

6 déc. 2019

This is what they don't teach you at university. Very good course.

par MASROAF S S

26 sept. 2020

It's a tough course for the beginners in R programming language.

par Norman C

25 janv. 2019

Good lessons but wish there was more lectures by the professors.

par Zhao W

31 août 2017

Learned a lot through both lecture notes and swirl package.

par Jing L

20 juin 2017

Useful, but it is all text so the course is not very fun

par weitinglin

6 nov. 2016

this course is a introductory level on the R usage!

par Alkia M

11 mars 2017

Really enjoyed the way the course was presented.

par Kevin K

9 mai 2018

Learn basics and some good data science tools.

par David R M H

19 juin 2020

Great course to start learning tidyverse

par Johans A A

1 févr. 2018

Exccellent Course! I really enjoyed it!

par Moriya K

12 juil. 2020

just swirl causes tables sometimes

par Jorge L R Z

7 avr. 2018

A really good introduction to R.

par urvi k

20 août 2020

enjoyed the last assignment

par Harsha S

16 août 2017

Covers the basics well.

par Mayer A

31 mars 2018

very good start

par Laura O

27 févr. 2019

The contents of the Course are great and you can learn a lot of stuff regarding the R Programming Environment. Unfortunately, there has been errors in the evaluations that have been pointed out in the forum for more than two years now and the Instructors haven´t attended them. They claim that that´s the system of Johns Hopkins University, to make evaluations hard, however, when you refer in a test to the name of a variable that doesn’t exist is not making a test hard, is losing the time of your students and therefore adding unnecessary obstacles to their learning process. Also when comparing the material printed in Coursera and the book that the instructors suggested for the Course, there are basic errors like printing the wrong Graph. If you are really interested in advanced programming in R, take the course, however, BE AWARE THAT THERE ARE FLAWS AND READ THE FORUMS BEFORE ANSWERING THE EVALUATION, IF NOT YOU ARE GOING TO WASTE A LOT OF TIME IN USELESS ISSUES!!!!!!

par Henrique R

23 janv. 2018

The swirl assignments follow a progressive structure and that's great, I was able to complete most of it even though I am totally new to programming. But the readings are not as easily comprehensible. There could be also more videos with examples. For instance, taking a look at the syllabus I don't think I'm completely able to import data from the web without a considerable amount of effort. And there was no swirl assignment on this specific subject. I've considered the course ok for a first approach to the R environment, but could improve a lot in the issues I've mentioned. Best regards, Henrique