How difficult is to learn R Language?

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Ramesh Ratnala

The Passionate Teacher with Accountability

If you love Statistics and numbers then definitely R is easy to learn.
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Learning R programming is easy. But what you want to do after learning R-programming is the key. If you learn R programming just like any other like C/java etc, it will not give any mileage in your career. R programming is a enable to do the job faster. But you need to master the science behind the output...
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Learning R programming is easy. But what you want to do after learning R-programming is the key. If you learn R programming just like any other like C/java etc, it will not give any mileage in your career. R programming is a enable to do the job faster. But you need to master the science behind the output of any given software like R. Ex: Assume someone underwent some medical test in a laboratory say Diabetis, everyone understand that report. But still you need to consult a doctor. Because he can understand that test results better than us as he knows body Anatomy very well compared to us. Similarly, R-output is an output report like diabetes test report. But to understand that output well, you need know mathematics/Statistics like body anatomy. If you do not know the mathematics/statistics, it is very difficult to survive in real time. If anyone is teaching how to read the output some software like R/SAS etc, you do not get any confidence in the subject, but the institute get money which you paid as fee. If you want to get into Data science/Analytics job, you get understanding on below topics: 1) Mathematics a)Matrices and Linear Algebra b)Coordinate Geometry c)Calculus d)Logarithms 2)Statistics a)Descriptive Statistics b)Inferential Statistics c)Regression Methods d) Multivariate Analysis e)Machine Learning After learning above concepts, Learning R is matter of 1-2 weeks. read less
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Hi Sunil, Learning R is easy but try to learn and update under the guidance of Senior R Analyst. Its Good if you learn R along with Tableau or SAS. Current Job market demands multiple skills.
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It is Programming for Statistical computing and Analytics.. Once you understand fundamentals, it is very easy. DnI Institute offers training if you are interested in. Also blogs for you to read and learn yourself..
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I do not think it is difficult to learn. It is developed for Data Scientist or Analytics professionals. Of course, you will take initial time to get accustomed to R and then you will love it.. Very easy compared to any of the computer programming according to me.
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Data Scientist

It is not difficult at all. If you have any kind of programming experience then you can catch it very easily. If you never had any programming experience then it might be little difficult in the beginning. This package is used for statistical analysis and hence the key thing is to learn on how to read...
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It is not difficult at all. If you have any kind of programming experience then you can catch it very easily. If you never had any programming experience then it might be little difficult in the beginning. This package is used for statistical analysis and hence the key thing is to learn on how to read the software output. Coding style is pretty simple in comparison to other analytic tool like SAS and open source package python. read less
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Depends on your background. In case you have background in MATLAB programming some UNIX based programming then it will be very easy for you. Also, statistical background would help a lot.
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Once you are conceptually clear on what you want to do with R programming, it is easy. As with any new learning, it would take time to get familar with and understand fundamentals of it.
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Tutor

If you already know any programming language, then learning R should not be difficult. Though, mastering R does take time. But along with R, you should learn Data Science. This is because, R is used to do statistical computing and analysis.
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Tutor

Learning R is not difficult, its any other language. But decide on what you want to do with R. Learning requires time and effort. When there is no purpose, then learning becomes difficult.
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