R Programming is a programming language which is highly used in the statistical and data mining environment. Because of its easy-to-use interface and expressive syntax, it has gained immense popularity in recent times. It is a free programming language which can be run on all platforms like Windows, Linux and Mac.

One of the biggest advantages of R programming is the cross-platform interoperability support feature, which in today’s time is very important for every programming language. Anyone who wants to have a career in data science, he/she should be well versed with the R Programming language.

After enrolling for this R Programming course, students will be able to understand the basic concepts of R programming, along with many of the in-depth concepts related to its syntax and others. At the end of this course, students will be able to confidently shift his career towards Data Science, which is one of the most desired career path for any IT professional.

1. Understanding of R System and installation and configuration of R-Environment and R-Studio

2. Understanding R Packages, their installation and management

3. Understanding of nuts and bolts of R:

               a. R program Structure

               b. R Data Type, Command Syntax and Control Structures

               c. File Operations in R

4. Application of R Programming in Daily life problems

5. Preparing Data in R

             a. Data Cleaning

             b. Data imputation

            c. Data conversion

6. Visualizing data using R with different types of graphs and charts

7. Applying R Advance features to solve complex problems and finetuning R Processes