R Programming Training

Learn how to use R Programming from beginner level to advanced techniques which is taught by experienced working professionals. With our R Programming Training in Chennai you’ll learn concepts in expert level with practical manner.

R Programming is a powerful statistical programming language which is used for predictive modelling and other data mining related techniques. R programming can be used for data manipulation,data aggregation,statistical Modelling, Creating charts and plots.

R programming is becoming the most sought after skill in the field of analytics for its open source credibility. It is a simple programming language which requires no pre-requisites unlike other programming languages.

There are many spectacular packages available in R that will help in a brief data analysis. R can also be collaborated with other data management tools like excel, access, Oracle, sql server which makes it a powerful tool.

Why R Programming?

R programming along with a substantial knowledge of statistics can help candidates to have a great career in data Analytics. R is also an widely used tool in many big firms like top Banks, IT, Retail, Healthcare, Pharma, Supply chain and logistics firms.

Analyzing large data sets can be done in a shorter period with the help of R programming. There is a huge shortage in the market for professionals with skills in R programming which makes it more interesting to pursue.

Since R is a free software it is being widely used which creates a lot of opportunities for professional who are looking to pursue a career in R Programming.

R Programming Training Syllabus:

• Introduction to R
• What is R?
• Why R?
• Installing R
• R environment
• How to get help in R
• R console and Editor
• Understanding R data structure
• Variables in R
• Scalars
• Vectors
• Matrices
• List
• Data frames
• Using c, Cbind,Rbind, attach and detach functions in R
• Factors
• Importing data
• Reading Tabular Data files
• Reading CSV files
• Importing data from excel
• Importing data from SAS
• Accessing database
• Saving in R data
• Loading R data objects
• Writing to files
• Manipulating Data
• Selecting rows/observations
• Selecting columns/fields
• Merging data
• Relabelling the column names
• Converting variable types
• Data sorting
• Data aggregation
• Using functions in R
• Commonly used Mathematical Functions
• Commonly used Summary Functions
• Commonly used String Functions
• User defined functions
• local and global variable
• R Programming
• While loop
• If loop
• For loop
• Arithmetic operations
• Charts and Plots
• Box plot
• Histogram
• Pareto charts
• Pie graph
• Line chart
• Scatterplot
• Developing graphs