Practical Data Analytics Using R

Learn Practical Data Analytics Using R: Even If You're Starting from Scratch
Data analytics is one of the most valuable skills in today's data-driven world. Yet many beginners struggle because tutorials jump straight into complex coding or advanced statistics.
This book takes a different approach.
Practical Data Analytics Using R: From Beginner to Portfolio-Ready focuses on the real skills analysts use every day: understanding data, cleaning messy datasets, exploring patterns, visualising insights and communicating results clearly.
Through step-by-step examples and real datasets, you will learn how to work confidently with R and develop structured, reproducible analytics workflows.

What You Will Learn

• How to install and set up R and RStudio
• How to load and inspect real datasets
• Data cleaning techniques using dplyr
• Exploratory Data Analysis (EDA)
• Data visualisation with ggplot2
• Interpreting analytical results clearly
• Writing professional reports with R Markdown
• Completing a full data analytics mini-project

• Beginners learning data analytics
• Students building a data portfolio
• Professionals transitioning into analytics roles
• Anyone who wants a practical introduction to R for data analysis