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R Tools and Programming

Master statistical computing and data visualization with R. Become an expert in data analysis, machine learning, and reproducible research.

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R Users
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Packages
#1
Data Science
Welcome to R — the language of data and discovery. View Capabilities
R Console
> library(ggplot2)
> data read.csv("dataset.csv")
> model lm(sales ~ advertising, data=data)
> summary(model)
# R-squared: 0.85, p-value: 0.001

R Programming Capabilities

Discover the powerful features that make R the choice for statisticians and data scientists

Data Visualization

Create stunning statistical graphics and interactive dashboards

  • ggplot2 for advanced plots
  • Interactive Shiny apps
  • Customizable themes
  • Publication-ready graphics

Statistical Analysis

Perform advanced statistical tests and modeling with built-in functions

  • Hypothesis testing
  • Regression analysis
  • Time series analysis
  • Multivariate analysis

Machine Learning

Implement machine learning algorithms and predictive models

  • Classification algorithms
  • Clustering techniques
  • Neural networks
  • Model evaluation

Essential R Packages

Master the most powerful packages in the R ecosystem

ggplot2

Create elegant data visualizations using the grammar of graphics

Visualization

dplyr

Data manipulation made easy with intuitive verb functions

Data Wrangling

caret

Complete solution for training and evaluating machine learning models

Machine Learning

rmarkdown

Create dynamic documents, reports, and presentations

Reporting

Statistical Methods You'll Master

Learn advanced statistical techniques used in industry and research

Regression Analysis

Linear, logistic, and multiple regression for predictive modeling

Forecasting Trend Analysis

Cluster Analysis

Group similar data points using k-means and hierarchical clustering

Segmentation Pattern Recognition

Time Series

Analyze temporal data with ARIMA, forecasting, and seasonality

Stock Market Weather Data

Industries Using R

R is transforming data-driven decision making across multiple sectors

Healthcare & Pharma

Clinical trial analysis, drug discovery, and medical research

85% of biostatisticians use R

Finance & Banking

Risk analysis, algorithmic trading, and portfolio management

Leading tool for quantitative finance

Technology

A/B testing, user behavior analysis, and product analytics

Used by Google, Facebook, Microsoft

Academia & Research

Statistical research, data analysis, and scientific publications

Standard in statistical education

Ready to Master Statistical Computing?

Join our R Programming internship and become a data analysis expert in 8 weeks

Apply now Call +91 7397078885
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