Data Analytics with R Training | Master Data Visualization, Statistical Analysis & More | GoLogica

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Data Analytics with R refers to the process of analyzing, visualizing, and interpreting data using the R programming language. R is an open-source statistical computing language widely used for data analysis, machine learning, and data visualization. It offers powerful tools and libraries such as ggplot2, dplyr, tidyr, caret, and shiny, making it a preferred choice for data analysts and data scientists.
Importance of Data Analytics with R
• Powerful Statistical Analysis
R is designed for statistical computing, making it a robust tool for performing advanced statistical analysis and hypothesis testing.
• Rich Data Visualization Capabilities
Libraries like ggplot2 and plotly enable users to create stunning and informative data visualizations, helping to communicate insights effectively.
• Data Manipulation & Cleaning
With packages like dplyr and tidyverse, R allows easy data manipulation, transformation, and cleaning, ensuring high-quality datasets.
• Machine Learning & Predictive Analytics
R provides machine learning packages such as caret and random Forest, which help build predictive models and automate decision-making.

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