Data Science For All
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Data Science For All Global Edition
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Author : Brennan Davis
language : en
Publisher: Pearson
Release Date : 2025-10-16
Data Science For All Global Edition written by Brennan Davis and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-16 with Business & Economics categories.
We are all consumers of data, and you may become directly engaged with data work in your future career. Data Science for All, 1st Edition takes you on a thorough yet reader-friendly journey into the subject to help you navigate a data-rich world. The authors demystify data science, covering its entire lifecycle from preparation and analysis to storytelling. Designed for students of all majors and backgrounds, it distills the most applicable ideas from the component fields of statistics, computer science, and domain application, helping you apply them immediately to your everyday life. Learning by doing is emphasized through the authors' unique STAR framework and various tools that encourage a more engaging and practical experience.
Data Science For All
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Author : Brennan Davis
language : en
Publisher:
Release Date : 2025
Data Science For All written by Brennan Davis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Big data categories.
"In writing this book, we aim to democratize data literacy and empower every student with the skills to navigate our data-rich world. We recognize the need for this growing field of data science to be a part of everyone's life, both in their consumption of data day-to-day and in their working with data professionally or personally. For decades, we have witnessed data's involvement in coursework and scholarly projects across campus. We have observed the necessity for data-related skills and comprehension in the diverse professions into which our students have graduated. The ubiquity of data has the potential to unite us in the process of ingesting information, thinking critically to draw conclusions, and communicating with those around us. As an exciting and rich blend of statistics, computer science, and domain application, the field of data science has much to offer everyone in their pursuits. This book aims to take the most applicable ideas from these component fields and put them in the hands of students so they can apply them immediately to their everyday lives. By giving them hands-on experience with every concept, this book will provide a lingua franca, enabling them to fluently converse with data no matter their background, major, or professional goals"--
Data Science For Beginners
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Author : Alex Campbell
language : en
Publisher:
Release Date : 2021-01-12
Data Science For Beginners written by Alex Campbell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with categories.
Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artificial intelligence and machine learning? Are these the same as data science? What does it take to become a data scientist? If you have ever wondered about these questions, you have come to the right place!There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis.This book has all the information you need to learn what data science is, and what the prerequisites are to become a data scientist. If you're a beginner or if you already have experience in data science, this book will have something for you.In this book, you will: Learn what data science is about.Discover the difference between data science and business intelligence.Explore the tools required for data science.Find out the technical and non-technical skills every data scientist must have.Figure out how to create a visualization of the data set with clear and easy examples.Get advice on developing a Predictive Model Using R.Uncover detailed applications of data science.And much more!The book has been structured with easy-to-understand sections to help you learn everything you need to know about data science. In this book you will learn about the prerequisites of data science and the skills you need to become a data scientist. So, what are you waiting for? Grab your copy of this comprehensive guide now
Data Science In Practice
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Author : Tom Alby
language : en
Publisher: CRC Press
Release Date : 2023-09-22
Data Science In Practice written by Tom Alby and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-22 with Mathematics categories.
Data Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application, and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids, and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles. Key Features: Success factors and tools for all project phases Includes application examples for various subject areas Introduces many aspects of Data Science, from requirements analysis to data acquisition and visualization
Data Science In Context
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Author : Alfred Z. Spector
language : en
Publisher: Cambridge University Press
Release Date : 2022-10-20
Data Science In Context written by Alfred Z. Spector and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-20 with Computers categories.
Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.
Data Science For Everyone
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Author : Fatih AKAY
language : en
Publisher: Fatih Akay
Release Date : 2023-03-20
Data Science For Everyone written by Fatih AKAY and has been published by Fatih Akay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-20 with Young Adult Nonfiction categories.
"Data Science for Everyone: A Beginner's Guide to Big Data and Analytics" is a comprehensive guide for anyone interested in exploring the field of data science. Written in a user-friendly style, this book is designed to be accessible to readers with no prior background in data science. The book covers the fundamentals of data science and analytics, including data collection, data analysis, and data visualization. It also provides an overview of the most commonly used tools and techniques for working with big data. The book begins with an introduction to data science and its applications, followed by an overview of the different types of data and the challenges of working with them. The subsequent chapters delve into the main topics of data science, such as data exploration, data cleaning, data modeling, and data visualization, providing step-by-step instructions and practical examples to help readers master each topic. Throughout the book, the authors emphasize the importance of data ethics and responsible data management. They also cover the basics of machine learning, artificial intelligence, and deep learning, and their applications in data science. By the end of this book, readers will have a solid understanding of the key concepts and techniques used in data science, and will be able to apply them to real-world problems. Whether you are a student, a professional, or simply someone interested in the field of data science, this book is an essential resource for learning about the power and potential of big data and analytics.
The Academy
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Author :
language : en
Publisher:
Release Date : 1874
The Academy written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1874 with categories.
The Index
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Author : Benjamin Franklin Underwood
language : en
Publisher:
Release Date : 1884
The Index written by Benjamin Franklin Underwood and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1884 with Religion categories.
Python For Data Science For Dummies
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Author : John Paul Mueller
language : en
Publisher: John Wiley & Sons
Release Date : 2019-01-25
Python For Data Science For Dummies written by John Paul Mueller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-25 with Computers categories.
The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
Data Science For Everyone
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Author : THOMPSON. CARTER
language : en
Publisher: Independently Published
Release Date : 2025-02-18
Data Science For Everyone written by THOMPSON. CARTER and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.
Unlock the Power of Data: Your Journey from Beginner to Data Science Pro Starts Here! In today's data-driven world, understanding data science is no longer a luxury-it's a necessity. "Data Science for Everyone" is your comprehensive guide to mastering this essential field, regardless of your background or experience level. Here's what awaits you inside: Crystal-Clear Explanations: We break down complex concepts into simple, easy-to-understand language, making data science accessible to everyone. Hands-on Learning: Dive into practical exercises and real-world case studies that will solidify your understanding and build your skills. Comprehensive Coverage: From the fundamentals of data analysis to advanced machine learning techniques, we cover it all. Step-by-Step Guidance: Our structured approach will take you on a journey from data novice to confident data science practitioner. Whether you're a student, professional, or simply curious about the world of data, this book will empower you to: Make data-driven decisions with confidence Unlock new career opportunities in the booming field of data science Gain a competitive edge in your industry Understand and interpret the data that shapes our world Don't get left behind in the data revolution. Grab your copy of "Data Science for Everyone" today and start your journey to data mastery!