Introduction to Data Science (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SERIES) - Softcover
Book 2 of 2: ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SERIES
Synopsis
Unlock the power of data with this beginner-friendly guide to Data Science. Introduction to Data Science is designed for students, beginners, researchers, and aspiring professionals who want to understand how data is collected, analyzed, visualized, and transformed into meaningful insights.
This book provides a clear introduction to the fundamental concepts, techniques, tools, and applications of Data Science using simple explanations and practical examples. Readers will learn about data analysis, statistics, data preprocessing, visualization, machine learning basics, and modern data-driven decision-making approaches used across industries.
Inside this book, readers will explore:
- Fundamentals of Data Science
- Data Collection and Data Preparation
- Exploratory Data Analysis (EDA)
- Statistical Concepts for Data Science
- Data Visualization Techniques
- Introduction to Machine Learning
- Python for Data Science
- Big Data and Real-World Applications
- Data Ethics and Decision Making
- Industry Use Cases and Practical Examples
Whether you are preparing for academics, projects, interviews, research, or a career in technology, this book serves as an essential starting point for learning modern Data Science concepts and workflows.
Perfect for:
- Engineering and degree students
- Beginners entering Data Science and AI
- Researchers and educators
- Developers and technology enthusiasts
- Self-learners and certification aspirants
Build a strong foundation in Data Science and begin your journey into the world of intelligent data-driven technologies.
"synopsis" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Unlock the power of data with this beginner-friendly guide to Data Science. Introduction to Data Science is designed for students, beginners, researchers, and aspiring professionals who want to understand how data is collected, analyzed, visualized, and transformed into meaningful insights.This book provides a clear introduction to the fundamental concepts, techniques, tools, and applications of Data Science using simple explanations and practical examples. Readers will learn about data analysis, statistics, data preprocessing, visualization, machine learning basics, and modern data-driven decision-making approaches used across industries.Inside this book, readers will explore: Fundamentals of Data ScienceData Collection and Data PreparationExploratory Data Analysis (EDA)Statistical Concepts for Data ScienceData Visualization TechniquesIntroduction to Machine LearningPython for Data ScienceBig Data and Real-World ApplicationsData Ethics and Decision MakingIndustry Use Cases and Practical ExamplesWhether you are preparing for academics, projects, interviews, research, or a career in technology, this book serves as an essential starting point for learning modern Data Science concepts and workflows.Perfect for: Engineering and degree studentsBeginners entering Data Science and AIResearchers and educatorsDevelopers and technology enthusiastsSelf-learners and certification aspirantsBuild a strong foundation in Data Science and begin your journey into the world of intelligent data-driven technologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798198126190
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