Data Science for Beginners
Language: English
Published by Amazon Digital Services LLC - Kdp, 2024
- Softcover
- New

Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
AbeBooks seller since April 7, 2005
Condition: New
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- Title
- Data Science for Beginners
- Author
- Bhatia, Nitin
- Publisher
- Amazon Digital Services LLC - Kdp
- Publication year
- 2024
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798328787109
- Item weight
- 200 grams
Welcome to "Data Science for Beginners," your gateway to the fascinating world of data science! This book is designed for curious young minds and enthusiastic beginners who want to explore the power of data in a fun and engaging way. Dive into an exciting journey where learning meets adventure, and discover how data shapes the world around us in incredible ways.
What Will You Learn?This book covers a wide range of topics to give you a comprehensive understanding of data science:
Introduction to Data Science: Start your journey with an overview of what data science is and why it's important. Learn about the history and evolution of data science, and how it impacts various fields such as healthcare, finance, and marketing.
Machine Learning Basics: Discover the exciting world of machine learning, where computers learn from data and make predictions. Understand different types of machine learning, including supervised and unsupervised learning. See how algorithms can recognize patterns and make decisions, powering technologies like recommendation systems and voice assistants.
Big Data and Data Engineering: Delve into the realm of big data and understand how massive amounts of information are processed and analyzed. Learn about the technologies and frameworks that make big data analysis possible, such as Hadoop and Spark. Explore the role of data engineers in managing and optimizing data workflows.
Ethical Considerations in Data Science: Data science is not just about numbers and algorithms; it's also about making responsible choices. Explore the ethical aspects of data collection and analysis, including data privacy, bias in machine learning models, and the importance of fairness and transparency. Learn how to use data in a way that is ethical and respectful of people's rights.
Fun and Engaging Learning
Learning should be an adventure, and this book ensures that it is! Packed with interactive activities, quizzes, and engaging stories, this book makes data science come alive. Meet curious characters who guide you through data adventures, solve puzzles, and test your knowledge with quizzes designed to reinforce what you've learned.
Who Is This Book For?
- Kids: Young learners aged 10 and up who are curious about data, technology, and how things work.
- Beginners: Anyone new to data science who wants to learn the basics in a simple and engaging way.
- Parents and Educators: Those looking for a fun and educational resource to introduce children to data science.
Nitin is a passionate educator and data science enthusiast dedicated to making complex concepts accessible to young minds. With years of experience in teaching and a knack for storytelling, Nitin brings data science to life in a way that's both informative and entertaining.
Join the Data Science Revolution
Data science is not just a subject; it's a superpower. By understanding data, you can make informed decisions, solve problems, and even create new technologies. This book is your gateway to becoming a data superhero. Start your journey today and unlock the power of data with fun and easy lessons designed just for you.
Build Your Data Science Toolkit
As you progress through this book, you'll build a toolkit of skills and knowledge that you can use in everyday life. Learn how to collect, analyze, and visualize data. Understand the basics of programming languages like Python, which is widely used in data science. Develop critical thinking and problem-solving skills that are valuable in any field.
"Synopsis" may belong to another edition of this title.
PBShop.store US
Wood Dale, IL, U.S.A.
AbeBooks seller since April 7, 2005
Shipping rates within U.S.A.
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