DATA SCIENCE PROJECT FOR BEGINNERS IN R: Learn Data Science Step-by-Step Using Real-World R Projects - Softcover

JOSEPH, LAMINA

9798274181617: DATA SCIENCE PROJECT FOR BEGINNERS IN R: Learn Data Science Step-by-Step Using Real-World R Projects

Softcover

ISBN 13: 9798274181617

Publisher: Independently published, 2025

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DATA SCIENCE PROJECT FOR BEGINNERS IN R: LEARN DATA SCIENCE STEP-BY-STEP USING REAL-WORLD R PROJECTS
No coding experience? No problem. With this book, you’ll learn data science step-by-step using R, one of the most powerful tools for data analysis and machine learning. Whether you are a beginner, a student, a professional looking to switch careers, or someone curious about the world of data, this guide gives you everything you need to start working with real-world datasets confidently.
Data Science Project for Beginners in R is designed to be hands-on and practical, guiding you through every stage of a data science project. You’ll begin with the basics of R programming and gradually move to advanced topics, including data cleaning, visualization, predictive modeling, clustering, and deploying data projects for real-world applications.
Inside, you’ll discover how to:
Import, clean, and explore datasets like a professional data scientist.
Visualize data with clear, compelling charts and graphs using R.
Build machine learning models such as logistic regression, decision trees, random forests, and clustering algorithms.
Work with real-world, messy datasets, including missing values, outliers, and inconsistencies.
Engineer features, select important variables, and prepare data for predictive modeling.
Deploy models and dashboards using Shiny and expose APIs for automation.
Apply best practices in reproducibility, version control, project workflow, and ethics.
Unlike other books that focus only on theory or abstract examples, this guide emphasizes real projects you can actually complete. Each chapter builds upon the previous, giving you a practical roadmap from your first R script to your first deployed data science project. By the end of the book, you won’t just understand data science—you’ll be able to apply it to solve real problems.
Whether you want to start a career in data science, enhance your analytical skills for your current job, or simply explore the world of data with confidence, this book equips you with the tools, techniques, and mindset to succeed. With step-by-step guidance, clear explanations, and hands-on exercises, it’s like having a personal mentor guiding you through your first data science projects.
Take the leap into the exciting world of data science and start turning raw data into actionable insights today with Data Science Project for Beginners in R.

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