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学生对 Johns Hopkins University 提供的 R Programming 的评价和反馈

4.5
22,362 个评分

课程概述

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....

热门审阅

AC

Jul 15, 2018

For anyone planning to set their foot in the vast field of data analytics and R, this course is what will set the momentum and actually make you fond of programming in R by the end of the course.

AB

Sep 6, 2017

Great course for people who work with data a lot. This course actually helps in looking at data in its basic forms, helps understand transformations better, and gives ideas about playing with it.

筛选依据:

1051 - R Programming 的 1075 个评论(共 4,751 个)

创建者 Selim J R

Sep 18, 2016

Challenging course but definitely worth it. It makeThe swirl exercises are a great help.

创建者 Thohith R

Mar 28, 2023

by this course i learnt a basics of r programming , it is very helpful for the beginners

创建者 Uzochukwu E E

Mar 26, 2023

A very interesting one. I am happy to take part in this course. it really worth the time

创建者 Lindsay E M

May 14, 2020

Challenging and very helpful to learn R & ways of using R in the data science community.

创建者 Khangjrakpam A

Jan 18, 2020

Very productive and insightful course. Made me think in the last programming assignment.

创建者 sahil p

Jan 2, 2020

The overall course was cool but the programming assignments were bit hard for beginners.

创建者 Junyu

Jul 18, 2019

A really good active learning course. Learning a lot of things by practice with swirl().

创建者 Joshua R

Jan 26, 2019

Good intro course to learning R. Enough to get your started, and learn more on your own.

创建者 Akshat K

Jun 6, 2018

Most comprehensive course, I must say. The delivery of lectures is remarkable and lucid.

创建者 Connor G

Aug 1, 2017

Excellent course, got me started in a huge way on the path to becoming a data scientist.

创建者 Juan A

Oct 30, 2020

I liked the way to explain the function of this course and the support of the community

创建者 Dr. R M ( - U M

Jun 11, 2020

Covers the basics of R-Programming. Some familiarity with programming would be useful.

创建者 Rob S

Dec 23, 2019

Very good begin for R-programming, but i think without programming background very hard

创建者 Sona S

Dec 26, 2018

Very very precise and to the point content. Exercises Interactive and at good intervals

创建者 Sahil K

Sep 2, 2018

Amazing course of R programming that will teach you almost everything about R language.

创建者 KESHAV K

Oct 23, 2017

Very helpful and challenging.. I'll be doing more courses from Coursera in the future..

创建者 Deepak S

Oct 16, 2017

Good course to get basics of R programming.. Use this knowledge to sharpen it further..

创建者 Harshavardhan S

Sep 28, 2017

A nice course to get introduced to and get comfortable with R Programming very quickly.

创建者 Bruno A M

Jun 27, 2017

Very well structured, the course is demanding enough to both push and keep you focused.

创建者 John W

Jan 22, 2017

I have been programming in R for years, but I did learn some new things in this course!

创建者 nora z

Dec 10, 2016

This course was great , I learned a lot from it and I am motivated to continue learning

创建者 Ricardo R

Oct 24, 2016

Great introduction to R. Force the student to change the way of thinking data analysis.

创建者 Raúl M

Feb 15, 2016

Very nice course for beginners in R!!! Practice with swirl is the best of the course!!!

创建者 Anupma v

Jan 3, 2021

Great course. Learned a lot! Doesn't assume much and takes you deeper in to R. Thanks.

创建者 Olga O

Aug 10, 2020

Very good and understandable course. It's a relevant general view about R Programming.