R Programming Online Training in Hyderabad
R Programming is a software computing programming language. It is widely used by statisticians and data miners for developing statistical software
Faculty : Real Time Expert | Duration : 25hrs | Material : Yes |

Itabhyas online training is the Best R Programming Online Training in Hyderabad, Bengaluru, Chennai, India.
About R Programming
R Programming is a software computing programming language. It is widely used by statisticians and data miners for developing statistical software .R programming is a specialized tool for data analysis and practical. After completion of the course students will be able to handle live projects.
The Course objectives
- A part from general topics candidate will be able to handle special topics such as
- In depth Knowledge on R programming language
- Understanding of statistical analysis like linear and logistics , cluster analysis and forecasting
- Knowledge on Database Connectivity , Reading data to ODBC Tables
- Linear Regression, Logistic Regression
- Understand Integration of R with Hadoop
- Prepare a comprehensive Case Study on R Programming using Hadoop
Who should go for this course?
- IT professionals who wants to become a data scientists
- Data analyst
- SAS Developers
- Statistical students
- Business intelligence professionals
R Programming Online Training batches will start every week. Make a call on +91-9030403937 or send a mail to info@itabhyas.com For
R Programming Online Training in Hyderabad, Bengaluru, Chennai, India.
R Programming Online Training Course Content
Introduction to Data Science
- Introduction to Data, Tables, Database, ETL, EDW
- What is Data Science?
- Popular Tools
- Role of Data Scientist
- Analytics Methodology
- Introduction to R Foundation
- Software Installation on Various Operating Systems
- Introduction to Real Time Applications
- Introduction to Popular Packages
R Introduction
- A gentle introduction to R expressions
- Variables
- Functions
R Syntax
- Grouping values into vectors
- Arithmetic Operations on Vectors
- Graphs with them
Vectors
- Creating and graphing two-dimensional data sets
Summary Statistics - Sum, Mean, Average, Minimum and Maximum
- Median, Percentile and standard deviation
Matrices
Factors
- Organizing values into data frames
- Loading frames from files and merging them
Data Frames
- Testing for correlation between data sets
- Linear models and installing additional packages
Working With Real-World Data
- The Normal Distribution
- The t Distribution
- The Binomial Distribution
- The Chi-Squared Distribution
Probability Distribution
- Strip Charts
- Histograms
- Boxplots
- Scatter Plots
- Normal QQ Plots
Basic Plots
Intermediate Plotting
Continuous Data
- Multiple Data Sets on One Plot
- Error Bars
- Adding Noise (jitter)
- Multiple Graphs on One Image
- Density Plots
- Pairwise Relationships
- Shaded Regions
- Plotting a Surface
Discrete Data
- Multiple Representations on One Plot
- Multiple Windows
- Print to A File
- Annotation and Formatting
Miscellaneous Options
- Indexing with Logical
- Not available or Missing Values
- Indices with Logical Expressions
Indexing Into Vectors
- Creating a Table From Data
- Creating a Table From Directory
- Tools for Working with Tables
- Graphical Views of Tables
Two Way Tables