R Language Training

Both Online and Offline

100% Guarantee in placement

Course Details

Course Features

Instructor led Sessions
The most traditional way to learn with increased visibility, monitoring, and control over learners with ease to learn at any time from internet-connected devices.
Real-life Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
Instructor led Sessions
With no limits to learning and in-depth vision from all-time available support to resolve all your queries related to the course.

R Programming

Oranium Tech introducing some amazing content on R Programming. R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S.

The module aims to provide exposure in terms of Statistical Analysis, Hypothesis Testing, Regression, and Correlation using an R programming language. The objective of this module is to make students exercise the fundamentals of statistical analysis in the R environment.

Course Syllabus

• What is R?
• Why R?
• Installing R
• R environment
• How to get help in R
• R console and Editor

• Variables in R
• Scalars
• Vectors
• Matrices
• List
• Data frames
• Using c, Cbind, Rbind, attach and detach functions in R
• Factors

• 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

• Selecting rows/observations
• Selecting columns/fields
• Merging data
• Relabelling the column names
• Converting variable types
• Data sorting
• Data aggregation

• Commonly used Mathematical Functions
• Commonly used Summary Functions
• Commonly used String Functions
• User-defined functions
• local and global variable

• While loop
• If loop
• For loop
• Arithmetic operations

• Box plot
• Histogram
• Pareto charts
• Pie graph
• Line chart
• Scatterplot
• Developing graphs

Related Courses

Machine Learning

Artificial Intelligence

Deep Learning