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Bewertung und Feedback des Lernenden für R-Programmierung von Johns Hopkins University

4.5
Sterne
21,338 Bewertungen
4,615 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

MR
11. Mai 2020

Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.

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!

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4251 - 4275 von 4,518 Bewertungen für R-Programmierung

von Victoria M

8. März 2016

This course is not at all beginner friendly, really hard to follow the assignments and the lectures if you do not have a programming or R background.

von Yash P

23. Aug. 2020

The teaching and the assignment are not on the same levels. The assignmnet contains contains concepts which are not taught in it's respective course

von Yuze Y

28. Dez. 2016

The videos do not adequately prepare the students of the programming assignments.

The instructor should provide more support regarding the homework.

von Phuong A V

26. Juli 2020

The programming is quire hard. It is very difficult to apply the knowledge from the lecture videos and the book resources to finish the assignment

von Stephanie B

17. Apr. 2020

The gap between the lectures and swirl, and the assignments was much too large. It was hard to transition between the lectures and the assignments

von Faraz S

11. Juni 2020

Assignments are difficult, very much coding experience required. Will recommend to subscribe courses on programminghub, codecademy and codecamp.

von Jason B

4. Juni 2016

Way too much way too fast. Not sure how I would make it better, but I felt like I was learning from googling more than from the course.

von Frank D S

28. Juli 2019

Good presentation, but the jump between course materials and assignments is too great for people that are very new to R/programming.

von Deleted A

28. Okt. 2016

R is a good to know tool, but so many of these process are automated now. You can do this quite easily in XLS or SPSS in most cases.

von William L

22. Aug. 2019

My review comments can be found in the surveymonkey response survey. To summarise: I would not recommend this course to others.

von Hideyuki T

3. Mai 2018

There seems logical jump from the lecture/exercise and quiz. Lots of time required to self-learn new things on other websites.

von Shanmuga P

12. Dez. 2017

no detailed explanation, everything is left to Assignments

expected some more contents with programming examples in the Videos

von Steve H

18. Juli 2017

very hard if you don't have any existing skills in R and the assignments are often not connected to the content of each course

von Mercy M

10. Sep. 2018

A very steep learning course for beginners, I had to take other introductory R courses on DataCamp to go through this course.

von Kevin W

1. März 2016

The videos were helpful, but too fast. Not a lot of time is spent on any of the functions of F. Swirl helps but not a lot.

von Shreyas A

17. Mai 2020

It's very difficult to crack weekly assignments. As examples taken while teaching the functions are not comprehensible.

von Michael P

11. Dez. 2016

Had potential, but exercises and quizzes do not align with content taught by professor. This is not a beginners course!

von Karanvir S

17. März 2020

The pedology used here does not interest a learner. It seems as if the instructor is just reading through the slides.

von zezhi

1. Mai 2016

The lecture is too general. Not a courser for beginners. But if your are not a beginner, you won't need this, so…

von Kevin M T

16. Mai 2021

There's no connection between the assignments given and the lecture being taught. So many contexts are missing.

von Chris D

23. Dez. 2017

Not for the faint of heart. Extremely difficult and not for beginners. If U pass U will have learned alot...IF

von David B

13. Aug. 2018

Disjointed and not cohesive. Start with the basics and build from there. The assignments are a waste of time.

von Ashwin S

23. Juni 2020

Theory and online lectures are fine, assignments are not (at all) consistent with the level in the lectures.

von Yarden B

11. Mai 2020

There is a huge gap between what they teach us and what the assignments ask. Had to get a lot of extra help.

von Sneha Y

12. Jan. 2020

Had some good information but did not expect the course to be intermediate level for the entirety of course.