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Learn R Programming

Comprehensive training in statistical computing and graphics is provided in our R Programming course. This course, which was created by experts in data science, teaches you how to use R for complex data analysis, visualization, and statistical modeling. The curriculum combines theoretical knowledge with practical applications.

Skills You’ll Gain:

  1. Understand R basics and syntax
  2. Work with data structures and data manipulation
  3. Perform statistical analysis and data visualization
  4. Build predictive models and machine learning algorithms
  5. Create dynamic reports with R Markdown and Shiny apps
  6. Clean and preprocess real-world datasets efficiently
  7. Apply advanced techniques in time series forecasting
Module 1 - Introduction to R Programming
  • Overview of R and its features
  • Setting up the R environment
  • Writing and running your first R program
  • Vectors, matrices, and arrays
  • Lists and data frames
  • Factors and strings
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  • Data cleaning and transformation
  • Working with dplyr and tidyr
  • Merging and reshaping data
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  • Introduction to ggplot2
  • Creating bar plots, histograms, and scatter plots
  • Customizing visualizations
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  • Descriptive statistics
  • Hypothesis testing
  • Linear and logistic regression
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  • Introduction to machine learning
  • Building predictive models
  • Evaluating model performance
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  • Hands-on R projects
  • Final project presentations
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Why Learn R Programming?

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