Positive Quadrant Technologies LLP

Module 1: Introduction to R

Module 2: Fundamentals of R

Module 3: Vectors

Module 4: Control Statements

Module 5: Functions in R

Module 6: Matrices

Module 7: Strings

Module 8: Lists

Module 9: Arrays in R

Module 10: R Factors

Module 11: Data Frames in R

Module 12: Data Visualization in R

Module 13: STRINER Package

Module 14: DPLYER Package

Rs.16000

Open-source: R is a free and open-source programming language.
Statistical Analysis: Designed for statistical computing and data analysis.
Data Visualization: Offers powerful visualization libraries like ggplot2 for creating complex and customizable data visualizations.
Data Manipulation: Built-in functions and packages facilitate efficient data manipulation and transformation.
Extensive Packages: Comprehensive repository of packages covering various domains expanding R's functionality for specialized tasks.
Integration Capabilities: Integrates well with other languages like Python.
Data Import/Export: Provides functions for importing and exporting data in various formats supporting seamless data integration.
Machine Learning: Growing ecosystem of machine learning packages for predictive modeling and analysis.