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Opiniones y comentarios de aprendices correspondientes a Programación R por parte de Universidad Johns Hopkins

4.5
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21,627 calificaciones
4,688 reseña

Acerca del Curso

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....

Principales reseñas

WH

2 de feb. de 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!

JM

11 de ago. de 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.

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4376 - 4400 de 4,596 revisiones para Programación R

por Anna H

16 de sep. de 2018

to simple, basic material in comparison to the assignments to solve

por Deleted A

4 de sep. de 2016

There is a disconnect between what is taught and what is assigned.

por Alifah S

11 de ago. de 2021

Assignments are too hard and too jumpy for the explanations given

por Dherbey C

11 de may. de 2020

very difficult assessments compared to the few functions taught.

por Steven R

1 de oct. de 2019

I get the impression I would be better off learning R on my own.

por Brandon W

16 de jul. de 2020

No preparation for quizes. Google taught more than this course.

por Storozheva A

30 de jun. de 2017

Definitely not for beginners, and also not very well organized.

por Joanne

2 de mar. de 2017

The homework and the lectures are at totally different level.

por Vanitu

23 de may. de 2016

Too much ppt and theory, while little examples and real code

por Marina Z

26 de jul. de 2017

Lectures are amazing, but the assignments are not adequate

por Kumar A

7 de dic. de 2016

Not good for people who would like to learn from basics.

por Liam D

24 de mar. de 2016

Disorganized course materials. Gaps in the materials.

por Carlos L V S

27 de oct. de 2021

Too basic instructions and complex applied functions

por Rochelle A

28 de jul. de 2017

Not really impressed with these courses so far...

por an a

19 de may. de 2020

programme structure is hard, teaching way is old

por Ivan S

28 de abr. de 2020

Assignments are too hard comparing to lessons

por Eda S

22 de jun. de 2016

Morely designed on slideshows, not effective.

por Shyam D

27 de jun. de 2019

exercises given don't follow the course line

por Patricia T

1 de abr. de 2016

This course is very difficult for beginners.

por Rebecca P

27 de jun. de 2016

This course is not very "beginner friendly"

por ahmed h

22 de ago. de 2016

it's so hard for beginners in my opinion

por Taylor L

25 de jul. de 2017

Pretty advanced and little guidance.

por Leo U

24 de feb. de 2016

Peng is incomprehensible. I give up.

por Ángela D C

28 de jul. de 2018

This is not beginner R Programming.

por Mingxun L

4 de jul. de 2020

Assignments were way too difficult