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is a foundational course designed to bridge the gap between raw data and actionable insights using the R programming language. While base R provides the fundamental syntax, this course focuses on the "Tidyverse" —a collection of modern packages (like dplyr , tidyr , and ggplot2 ) that share a consistent design philosophy, making data science in R more intuitive and efficient.

Some common data visualization tasks in R include: is a foundational course designed to bridge the

One of the biggest advantages of learning R over Excel is reproducibility. The course teaches you how to write scripts. If you receive new data next month, you can simply re-run your script to update your analysis, rather than re-doing manual clicks. The course teaches you how to write scripts

Best for showing how you apply these skills to solve real business or research problems. error-prone data handling toward a coded

"R Essential Training: Wrangling and Visualizing Data" provides the technical bedrock for a career in data analysis. It moves the learner away from manual, error-prone data handling toward a coded, systematic workflow. By mastering these skills, you gain the ability to turn messy, raw data into clear, compelling stories.

I’m excited to share that I’ve just completed on LinkedIn Learning ! 📊