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Avis et commentaires pour d'étudiants pour La programmation en R par Université Johns-Hopkins

4.5
étoiles
19,693 évaluations
4,203 avis

À propos du cours

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....

Meilleurs avis

JM

Aug 12, 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.

EJ

Jul 12, 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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251 - 275 sur 4,094 Avis pour La programmation en R

par Prabhjyot S

Jul 23, 2019

I find the course very interactive. I want to say thank you to the team members of John Hopkins University for their hard work. I always feel pleasure in learning new things and Coursera has given me this opportunity by creating this MOOC platform.

par MUNSHI K

Dec 06, 2019

Best course I have completed on R. As a new bee in R language, assignments was really a tough challenge for me. Now I have gained basic understanding of R language and I hope to do an advance course on R as well in future from Coursera. Thank You!

par Michael M J

Sep 27, 2020

Very well-taught and well-structured course, with great instruction by Dr. Peng. The programming assignments really helped with the practical aspect of R. Overall, this course is an excellent foundation for the programming aspect of data science!

par Hyungjin K

Mar 19, 2018

Such a nice introduction to R Programming! I urge you to take this course if you need essential guides to enhance your coding skills and programmer's mind. Assignments are challenging but rewarding enough to bring you feelings of accomplishments.

par Srinivasan R

Oct 19, 2017

The last exercise was excellent (Week 4). Each question exposed the chinks in our code. This challenged the learner to refine the code to plug all holes. However, what I am not sure is how effective is my coide against failures and against speed.

par Subhankar J

Aug 16, 2017

the assignments might be a little bit difficult for beginners to start with but that is what which will trigger a hacker in you and in turn will compel you find the answers and explore new and innovative ways of solving highly convoluted problems

par YUTING W

Apr 03, 2016

You can learn basic functions of R and do practical assignments on your own. However, the assignments are a little bit challenging, and students need to take some time to figure it out, especially for people who are not familiar with programming.

par badal s

May 23, 2020

Undoubtedly the best course on Coursera! This course is great fun, challenging, and loads of learning! I highly recommend this course to all the learners! Thanks to the instructors and the Johns Hopkins University for such a magneficient course!

par Luca B

Jun 05, 2020

Very useful course for beginners and intermediate users of R. It gives some very important insights about the infinite potential of this programming language. Definitely recommended for people who use R for professional and/or academic reasons.

par Hugo S

Mar 27, 2020

Great introductory course in R. Swirl is a very good introductory method for learning R by 'doing it'. The set of exercises were great (allow us to explore R in a more deep level), with very detailed and easy to follow instructions. Recommend!

par Yatin M

Oct 20, 2016

Excellent introduction to R Programming...whether you are taking it stand-alone, as part of the data scientist specialization or want to ease into the machine learning side of things . The swirl() exercises are a helpful add. Kudos to the team.

par James H

Feb 09, 2016

This course provides a great overiew to introductory R programming. Since taking the course, I have successfully used the precepts learned here for a number of analysis projects. Coupled with ggplot2 graphics, the results became self-evident.

par Juan M E R d A N R

Jul 09, 2020

Great course. But please consider including a reading version of the video lecture, (not the same as the transcript) just like in the previous course (The Data Scientist Tool Box). I found those reading versions of the lectures really useful!

par Marely T R A

Apr 24, 2019

Great course, I loved the SWIRL module. It was awesome. The videos were great and the examples really well though. The instructor has a great voice, he should consider a side job as a narrator, he could do it great.

Honestly, I just loved it.

par Akshay W

Jun 27, 2020

I like this course so much.just because when I was doing this course I have learnt so many thing that will help me in future and thankyou so much sorry for giving me this opportunity.i will surely do more course and learn new thing from you.

par Gerson G

Apr 27, 2020

This course will provide you with fundamental knowledge about R. It does not only teach you how to do things, but why to do them and it also covers how R works behind the scenes. This is valuable knowledge for anyone wanting to work with it.

par John M M

Dec 07, 2017

It was a nice programming course to start with although did not have prior skills in programming. I believe that I will use the knowledge to improve my programming skills and hopefully become a data scientist and an expert on R programming

par Rick B

Feb 07, 2016

This course was set out in such a way that it was very easy for me to follow. I hope that all the courses in this Specialization will be as well planned and structured as this one. It was very easy to learn the very basics of R programming.

par VISHAL D

May 27, 2020

Excellent course ! i aready know about R but this class very help me .i learn a ot of R basic , but i was completely lost for week 2+ 4 write functiom assignment - they strike at the level too high level for complete tye beginner for me

par Tomasz S

Jul 21, 2017

This course is easy at the beggining. And difficult at the end. I try to do it at least 2. I will recommend it to all the people who would like to get knowledge in programming and in data science. To these who are curious about the world.

par Dariusz R

Feb 07, 2016

Great course! I got previously some basics in R and this course helped me a lot with more effective programming in R. Especially, thank you for great lectured "functions" module, because I never understood it and now it seems much easier.

par Gregorio P V

Aug 29, 2020

It´s an excellent course, please take in mind that the effort necesary to finish this course is bigger than the effort applied in the previous one, The Data science´s Toolbox, but the knowledge obtained is very pertinent to data analysis

par Fahad Y

Nov 23, 2019

Indubitably a great starting point for someone who is new to R programming language. The course curriculum is so intutive and well decorated such that it was a challenging task for someone like me who belongs to a CS graduate background.

par Abhyudai M

Aug 02, 2017

The best part of the course is swirl. It allows me to refresh my concepts at any point of time as the library is installed in my system. Apart from that this course has a very refined structure which has avoided complexity and confusion.

par Valinho A

Aug 25, 2020

It's help alot for gaining confidence in my R programming skills. I don't say that it is not for the beginner, but they will need more time, effort and motivation to finish this course. Thanks, Coursera and Roger Peng for the insights!