Learning R Programming - How long does it take to learn R Programming?
R programming language is very big library of statistical library with more 4000 packages and its takes lot of time to learn all the important packages of R Programming. It requires time and effort to learn important packages of R Programming language. Let’s see how long does it take to learn R Programming?
In general its impossible to tell how much time it will take to learn R Programming language. To simplify it we need to split the learning process into different mastery level. Mastery of this programming language is impossible for anyone and we can just say that we have the enough knowledge to accomplish a particular job. So, for learning R programming we just need to set a milestone and master the topics to that level.
R Programming like other programming language requires theoretical knowledge and the practicing learned topics with real example programs. R Language is open source language and you will find almost everything on internet to learn and practice examples.
How long does it take to learn R Programming?
R Programming language is easy to start language and programmers with prior experience can learn it in few weeks. But this is not the mastery level and after learning basics advanced topics and various package knowledge is also required. Correlate the learned programming language with the business problem and solving it with analytics requires lot of experience. You will have to learn the business domain knowledge and then translate business problem in analytics problem. Then use R Programming language to come out with solution.
Learning Basics of R Programming
It will take around 15 days to learn the basics of R programming language such as installing R Programming, Installing R Studio, and Write first program and then familiarize you with language fundamentals
Fundamentals of R:
- R Overview
- Why R?
- Why Learn R Programming?
- Install R on Windows
- Install R on Linux
- Install R on Mac
- Hello World in R
- Editors and IDEs for R
- Install RStudio on Windows
- Install RStudio on Linux
- Install RStudio on Mac
- RStudio Desktop Overview
- R - Variables and Operators
- R - Functions
- R - Flow Control
- R – Packages
After getting started with the R Programming you will learn basics quickly but after that you will have to follow the steep learning curve as you progress towards more advanced concepts. R Programming learning curve is very steep and it requires lots of effort in practicing things. You will have to learn how to write efficient programs.
Learning Advanced R Programming
The advanced R Programming concepts teaches you to write code using high standard and with the help of advanced features of this programming language.
After learning advanced R programming you should be able to implement polynomial regression and smoothed density functions in your program.
Advanced R Programming takes around 1 month to master to a level so that you can start writing analytics functions.
Advanced R Programming topics
Here are the topics of Advanced R programming:
Functions
- What are functions?
- Introduction to R functions
- Creating user-defined functions
- Calling Functions
- Delayed functions execution
- Functions within functions
- Lexical scoping
- Search path
Classes
- Types of classes
- Generic functions
- Writing user-defined classes
R - Data Structures
- Vectors
- Attributes
- Sets
- Map
- Matrices and arrays
- Data frames
- R vectorisation
- Scalars
- Doubles
After completing all these topics you will be in a better position of developing programs in R programming. You can also start working on the real projects and search for jobs in R programming.