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Kursteilnehmer-Bewertung und -Feedback für R-Programmierung von Johns Hopkins University

4.5
Sterne
21,073 Bewertungen
4,534 Bewertungen

Über den Kurs

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....

Top-Bewertungen

WH
2. Feb. 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!

EJ
11. Juli 2016

Excellent course! I already knew a lot about R - but this class helped me solidify what I already knew, taught me lots of new tricks, and now I have a certificate that says I know `something' about R!

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3926 - 3950 von 4,434 Bewertungen für R-Programmierung

von Rafee S

25. März 2021

Course was good but assignment was too hard and there's no explanation of the assignments.

von navin g

10. Nov. 2017

The assignments are a little not related or more complex than what are there in the videos

von Lu E

15. Okt. 2017

the homework in this course is too easy to make me feel that I have made a great progress.

von Yutao L

20. Juni 2017

Simply not tough enough...Maybe more topics regarding class programming should be covered?

von Shawn L

12. Apr. 2016

This course does not teach thoroughly. There is no direction or lead in to best practices.

von Russ L

12. Mai 2018

I'd say good if you are well versed in R already BUT for me...a little too much too soon.

von Parth S

20. Mai 2017

Not very clear instructions. It can go above the head at times. SWIRL part is the best.

von Ankush A

18. Juni 2018

Assignments are much more advanced than what is taught and course matter is also less.

von Julie R

12. Mai 2020

Demanding. The peer reviewed task in week 3 is not adapted to the material content.

von Madelon d B

4. Feb. 2018

Nice course, sometimes a bit too abstract. Could do with some more vivid examples

von Vaibhav S

3. Apr. 2018

I am not very happy as even after learning I am not able to use R language much

von Kumar A S

9. Sep. 2017

This course will be difficult to complete if you are a beginner in programming.

von Karina L

31. Okt. 2016

I learned from the lectures, but the lectures didn't prepare me to do the hmwk.

von Dean G

30. Mai 2019

Many of the quiz's and projects had no prior material shown in the course work

von Melanie Z

27. Juni 2020

Concepts often included assignments on material that had not yet been taught.

von Kanika G

28. Juni 2020

Assignments were tough as compared to the video courses and swirl exercises.

von ROHIT N

10. Mai 2020

videos are good but assignments are too difficult specially the swirl ones ,

von Harshit D

26. Dez. 2018

Good course but some flavor of plots especially ggplots would be very good

von Matias V

20. Juli 2020

Programming assignment level nothing compare with swirl ir clases content

von Biplab G

25. Juni 2017

Assignments are difficult and are not fully related to the course videos.

von Shelly H

14. Feb. 2016

The exercises ae far more advanced than the lectures and study materials.

von Raúl G C T

21. Sep. 2020

Muy desequilibrado. Las tareas y las clases están en diferentes niveles.

von Sampath R

22. Feb. 2016

Bit tough and the professor's were rushing through the course in videos.

von VIKAS T

23. Apr. 2018

It is good. but can be made better by adding more practice assignments.

von Soo Y K

26. Apr. 2017

Quite difficult to digest for a beginner. Hope the examples are easier.