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Rプログラミング に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による Rプログラミング の受講者のレビューおよびフィードバック



In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples....



Feb 03, 2016

"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!


Aug 12, 2019

Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.


Rプログラミング: 3126 - 3150 / 3,157 レビュー

by Rishi R

Jun 27, 2017

Too much of a jump from the previous course. Exercises much too complex relative to the lessons.

by Joan S

Feb 11, 2016

You can't do assignments using the lecture materials. Need A LOT of time to finish this course.

by Jostein B

Mar 31, 2017

There is a huge disconnect between the lectures and what is asked in the homework assignments.


Apr 10, 2016

Actually I feel like i'm reading the instruction manual without knowing useful skills

by Stéphane P

Feb 26, 2016

It's good introduction, but the assignment are rather poor. Not worth paying for it

by Thomas Y

Jan 14, 2020

Doesn't teach many functions that are related to how to solve the question at hand

by Avdesh s

Apr 01, 2016

In Lectures rate of speech is really fast and in some presentations are not clear

by L. R B

Oct 12, 2016

There is a disconnect between the video lectures and the assignments/quizzes.

by Adanna G A

Mar 01, 2016

Assignments not always in line with lecture.

Material is above beginner level.

by Gamze A

Apr 16, 2017

the assignments were very hard to understand. the course videos were poor.

by DarrenWu

May 19, 2016

Why should I waste my time listening to someone reading a book to me...

by Ian H

Apr 12, 2018

Terribly designed course!!! Better off paying far less for Data Camp!

by Poonam S

Dec 28, 2017

Not very intuitive videos. Swirl is the only best part of this course

by Lizzy Z

Jan 03, 2017

Instructor doesn't seem to be passionate about giving the lecture

by MHD H A N

Dec 11, 2019

the information is very big without any exercises to the ideas

by Ani M

Jun 13, 2016

Professor needs to emphasize on basics before going advance.

by Luke A P

Feb 01, 2017

huge gap from lectures and swirl to the assignments.


May 28, 2019

From theory to practice absolutely not weel driven.

by Konstantin P

Apr 07, 2018

Tasks difficulty level does no match the material.

by Yifei P

Feb 14, 2016

Waste money and time! Do not explain very well!

by Riva L

Aug 19, 2016

They shouldn't compact 14+ videos in one week.

by Price S

Sep 10, 2016

The videos have very little to do with tests

by Chan J K

Dec 10, 2018

Too difficult and dry. Not for beginners.

by George K B

Aug 05, 2018

There is some topics with no practice

by Carlo T

Jul 30, 2019

Too much complicated. Not useful.