R Programming – Data Analysis & Visualization from the Ground Up

R is one of the leading languages for data analysis, statistics, and visualization — flexible, powerful, and widely used in science and industry.
This course guides you step by step from the fundamentals of R syntax all the way to modern workflows with tidyverse, statistical modeling, and meaningful visualizations.

Whether you are a beginner or an experienced user: the modular structure makes the content easy to follow, practical, and directly applicable to real-world scenarios in Data Science and Analytics. 

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Who this course is designed for

  • Beginners with no prior experience in R or programming
  • People looking to enter data analytics, statistics, or business intelligence
  • Users who want to apply modern data-analysis workflows using tidyverse
  • Professionals who need reproducible analyses, visualizations, and statistical models

What you will learn in this course

  • Apply the fundamentals of the R language and ecosystem safely and correctly
  • Import, clean, transform, and analyze data
  • Create visualizations with ggplot2 and interactive extensions
  • Perform statistical tests, modeling, and exploratory analyses
  • Build reproducible workflows using RMarkdown and structured project workflows
  • Design, execute, and present a complete end-to-end analysis project

Course Information

  • Duration: 6–8 days (adaptable to prior knowledge)
  • Format: On-site or live online
  • Tools: R, RStudio, tidyverse, ggplot2, RMarkdown, CRAN packages
  • Group Size: Small cohorts for personalized feedback

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