Positive Quadrant Technologies LLP

Module 1: Introduction to R

Module 2: Packages

Module 3: Data Import and Export

Module 4: Data Visualization with R

Module 5: Data Wrangling with Dplyr

Module 6: Data Wrangling with Dplyr

Module 7: Basic Statistics

Module 8: Statistical Analysis with R

Module 9: Data Cleaning

Module 10: Machine Learning Basics

Module 11: Classification and Clustering

Rs.16000

R provides a rich ecosystem of libraries and packages specifically designed for data manipulation analysis and visualization.
Built-in statistical functions and packages make R a powerful tool for conducting various statistical analyses hypothesis testing and modeling.
Robust visualization libraries such as ggplot2 allow users to create a wide range of high-quality plots and charts for effective data exploration and presentation.
R offers efficient tools for data cleaning preprocessing and transformation enabling users to handle messy datasets and prepare them for analysis.
R can easily integrate with other data science tools and languages.
R supports a wide range of machine learning algorithms.
R has packages for text mining and natural language processing.
R is compatible with various operating systems like Windows macOS and Linux.