Data Science, Analytics and Machine Learning with R 1st Edition

Capture the power of modern analytics with Data Science, Analytics and Machine Learning with R, 1st Edition by Luiz Paulo Favero, Patricia Belfiore, and Rafael de Freitas Souza. This clear, authoritative guide turns complex theory into practical workflows you can apply to real-world datasets.

Learn how to move from raw data to actionable insight using R. The book walks you through essential topics—data wrangling, exploratory analysis, statistical modeling, machine learning algorithms, model validation, and visualization—using contemporary R tools and reproducible practices. Each chapter balances conceptual clarity with hands-on examples, making advanced techniques accessible without sacrificing rigor.

Ideal for data professionals, analysts, and graduate students, this volume bridges the gap between academic foundations and business or research applications. Whether you’re building predictive models, optimizing operations, or visualizing trends for stakeholders, the authors’ pragmatic approach helps you choose the right methods and implement them efficiently.

Globally relevant and industry-focused, the book suits readers across North America, Europe, Latin America, and Asia who seek a practical R-centered roadmap to analytics and machine learning. With expert guidance from Favero, Belfiore, and Souza, you’ll gain the confidence to deploy robust models and communicate results clearly.

Ready to elevate your data skills? Add Data Science, Analytics and Machine Learning with R to your professional library and start transforming data into decisions today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.