Data Science with R

A Practical Guide for Statistical Analysis and Machine Learning

Author

George Orfanos

Preface

Data Science with R

This book introduces the foundations of Data Science through both conceptual understanding and practical demonstration. It provides a structured path from the basics of data handling and statistical analysis to more advanced topics such as machine learning, helping readers build a solid foundation in the field.

It is intended for beginners and anyone starting their journey in Data Science—including students, professionals exploring the field, or individuals who simply want to become more familiar with key concepts. Whether you aim to pursue a career in Data Science or wish to enhance your understanding of data-driven decision-making, this book is designed to guide you step by step.

While R programming and coding are used as tools to illustrate workflows and examples, prior programming experience is not required. Readers can focus on the underlying concepts, methodologies, and analytical thinking without needing to engage with the code directly.

Through the combination of practical exercises, visualizations, and conceptual explanations, this book aims to make complex topics such as statistical distributions, data visualization, regression analysis, and machine learning accessible and understandable for everyone. By the end of the book, readers should feel confident navigating the core principles of Data Science and applying them to real-world problems.

Author: George Orfanos

Publisher: DataKortex