Voltar para Linguagem R

4.5

estrelas

20,288 classificações

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4,350 avaliações

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....

WH

2 de Fev 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!

EJ

11 de Jul de 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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por James S

•13 de Mar de 2016

Completely lost. This is not meant for rank beginners. Data Camp's free R course has been much more helpful for me than this. It doesn't have the same level of detail as this, but at least I'm not watching an instructor gloss over concepts or ideas that are completely foreign to me as someone completely new to programming.

por Swagata B

•25 de Ago de 2020

Had the toughest time doing this course. A huge lag between course content and the assignments. Kindly consider upgrading the course content so its better designed for beginners. Or at least consider providing additional reading material or helpful information. This course is hardly becoming of a John Hopkins' course.

por Attila C

•22 de Jan de 2018

1) The faculty should talk more about the slides, draw on them. It is hard to follow in the current form. 2) The assignments are not relevant to the learning, except week 4. 3) The faculty speaks too slow. I listened to him at 1.5x speed. 4) Plotting should have a bigger part in the course. 5) SWIRL is GREAT!

por Swapnil G

•22 de Set de 2019

The course lacked overall structure which really impedes learning. There was barely an explanation of why we were learning a particular topic. I believe it might be really helpful to have an overarching project that we work throughout the course, and new topics are introduced in relation to that project.

por David

•28 de Fev de 2016

Only the most basic of instructions for R, which are bland and easily read in the documentation or other free resources. There are very few best practices or real examples to use anything found within. The quizzes and assignments do not match the lecture material and are contrived. Not worth the money!

por Eric J S

•6 de Ago de 2019

The lectures never motivated the subject matter. The material should have been broken up across multiple courses and be introduced as needed. The course difficulty was highly uneven, expectations from the lectures were noticeably lower than expectations for the quizzes and especially the projects.

por Tanvir A

•6 de Ago de 2020

Don't do this.Don't waste your time.The instructor teaches you like normal A,B,C,D and the assignments were like go to the moon and come back within half-an-hour.

Watch how Dr. Chuck designed his PYTHON FOR EVERYBODY course and the assignments and learn how to design course module .Disgusting !!!

por Thomas A

•30 de Jun de 2018

Course has the appearance of being quickly thrown together. Assignments are impossible to complete due to random number generation mismatches. Lecture content frequently does not really help with the assignments, and a lot of the video information is extremely useless in real world applications.

por Rodolfo N R

•27 de Dez de 2017

Professor is not good, his English is awful and does not explain in a easy way what he tries to teach.

Content is not organized and tasks are not aligned with the content.

I have to say that I won't recomend this course, however, I would like to help to improve this course if you need help.

por LUIS G M D L C

•30 de Out de 2016

Very painful training, the contents reviewed in the material will not make you capable to solve the weekly assignments, you will have to learn what you need on your own. To me the only value added of this course is that I will receive a proof that I know how to define basic functions in R.

por Arjun N

•7 de Abr de 2016

The course is misleading - the difficulty ramps up too quickly, with the result that those who do not have a programming background will not be able to keep up. It should be toned down and reworked, or split into two courses. Cramming everything into 4 weeks makes everything too difficult.

por Maneesh K

•4 de Fev de 2016

The teacher goes very fast with the concepts without really spending much time on each of them. It will be great if instead of covering all things in short amount of time, the teacher could write R code using each type of function in console so that students know exactly what to expect.

por Albert W

•18 de Jan de 2016

The gap between the lecture materials and programming assignment is enormous. So much of lecture seem to be on the history and theoretical of R programming that it completely fails to cover the material needed to actually completed the programming assignments. Incredibly disappointing!

por Afia M

•25 de Jul de 2020

Only take this course if you're already familiar with the basics of R programming, otherwise don't bother. The instructor is no help and you'll have to search the internet to complete the required assignments. Don't know about skills but this course sure gave me a lot of stress.

por Lefteris L

•25 de Mai de 2017

The lecture material was very poor in terms of content and barely scratched the surface of the topic. I don't consider that passing this course you will learn anything but the very basics of R programming. In that respect you are better off reading a book on R.

por Jasen N

•12 de Mai de 2016

For an introductory course with no prerequisites, the assignments should cover material that has been introduced in lectures. Non-introductory and advanced courses in R can require students to look outside of lectures for completing relatively complex problems.

por Sydney R

•12 de Fev de 2016

BEWARE. If you are someone who is new to more advanced math or to any sort of coding, this course will be very confusing, totally unpractical, and you'll walk away not feeling like you've really learned how to use R in a real way.

I was incredibly disappointed.

por Huw M

•8 de Dez de 2020

Wow. I cannot believe how difficult that last week was. No explanation for how to go about it just a learn it in your own time. As soon as the $49 USD is taken out of my account the difficulty is raised considerably. Cannot believe I paid for this subject.

por ADITHYA P

•13 de Jun de 2020

The lectures are good for basic understanding, but there are no sample programs in order to understand their real world application. And the assignments are not at all for beginners. There is a huge gap between the content and the assignments.

por You H

•17 de Jul de 2019

To be honest, this is the most terrible course that I have ever had on Coursera. The courses are not well organized, and the assignment has little to do with the videos, which means students have to learn by themselves to finish the assignment

por James B

•27 de Mar de 2016

Poorly organized and managed. Each week of this course should have been broken down into individual 4 week courses. I have 20 years software development experience, and I can tell you this is too much information to cram into a single class.

por Vignesh

•6 de Abr de 2016

The new platform Sucks!!!

The people who just want to learn for free and not purchase a certificate are barred from attempting the quizzes unlike the old platform. Not being able to take the quizzes completely ruins the learning experience.

por Bich T T

•6 de Jul de 2020

You don't have to go through the videos which I found painful because of the instructor's voice. The textbook includes everything in the videos. However, there was no application for the videos and textbook in the quizzes and assignments.

por Mohan U

•27 de Set de 2020

I really wanted to learn R in my current Mac iOS environment, in a Linux/Unix environment. I only see here the course offered in Windows environment in archaic MS-DOS environment? I am not interested in that. Hence I unenrolled.

por Baurjan S

•19 de Set de 2016

Somewhere during the second week there is a gap in coding that I could not overcome and this ruined the whole interest in pursuing the course because in order to overcome it I had to cheat. I don't feel like I am learning anymore.

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