Isbn: 9798868811685 - a friendly guide to data science: everything you should know about the hottest field in tech (21 risultati)

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Condizione: New.

Paperback. Condizione: New. Unlock the world of data science-no coding required.Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics-what data analysis involves, which skills are useful, and how terms like "data analytics" and "machine learning" connect-without getting too technical too fast.Data science isn't just about crunching numbers, pulling data from a database, or running fancy algorithms. It's about asking the right questions, understanding the process from start to finish, and knowing what's possible (and what's not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security-because working with data means thinking about people, too.Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today's most exciting fields. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts- just as AI and data become increasingly central to everyday life. What You Will LearnGrasp foundational statistics and how it matters in data analysis and data scienceUnderstand the data science project life cycle and how to manage a data science projectExamine the ethics of working with data and its use in data analysis and data scienceUnderstand the foundations of data security and privacyCollect, store, prepare, visualize, and present dataIdentify the many types of machine learning and know how to gauge performancePrepare for and find a career in data science Who This Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field-helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.…

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. Unlock the world of data science-no coding required.Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics-what data analysis involves, which skills are useful, and how terms like "data analytics" and "machine learning" connect-without getting too technical too fast.Data science isn't just about crunching numbers, pulling data from a database, or running fancy algorithms. It's about asking the right questions, understanding the process from start to finish, and knowing what's possible (and what's not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security-because working with data means thinking about people, too.Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today's most exciting fields. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts- just as AI and data become increasingly central to everyday life. What You Will LearnGrasp foundational statistics and how it matters in data analysis and data scienceUnderstand the data science project life cycle and how to manage a data science projectExamine the ethics of working with data and its use in data analysis and data scienceUnderstand the foundations of data security and privacyCollect, store, prepare, visualize, and present dataIdentify the many types of machine learning and know how to gauge performancePrepare for and find a career in data science Who This Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field-helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.…

paperback. Condizione: New.

Condizione: Wie Neu. Zustandsbeschreibung: Kanten leicht bestoßen/edges slightly bumped. Everything You Should Know About the Hottest Field in Tech. Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics - what data analysis involves, which skills are useful, and how terms like "data analytics" and "machine learning" connect - without getting too technical too fast. Data science isn?t just about crunching numbers, pulling data from a database, or running fancy algorithms. It?s about asking the right questions, understanding the process from start to finish, and knowing what?s possible (and what?s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security - because working with data means thinking about people, too. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts - just as AI and data become increasingly central to everyday life. XXXVI,884 Seiten mit 107 Farb- und 52 s/w-Abb., broschiert (Friendly Guides to Technology/Apress 2025). Statt EUR 48,14. Gewicht: 1397 g - Softcover/Taschenbuch.…

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. Unlock the world of data science-no coding required.Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics-what data analysis involves, which skills are useful, and how terms like "data analytics" and "machine learning" connect-without getting too technical too fast.Data science isn't just about crunching numbers, pulling data from a database, or running fancy algorithms. It's about asking the right questions, understanding the process from start to finish, and knowing what's possible (and what's not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security-because working with data means thinking about people, too.Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today's most exciting fields. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts- just as AI and data become increasingly central to everyday life. What You Will LearnGrasp foundational statistics and how it matters in data analysis and data scienceUnderstand the data science project life cycle and how to manage a data science projectExamine the ethics of working with data and its use in data analysis and data scienceUnderstand the foundations of data security and privacyCollect, store, prepare, visualize, and present dataIdentify the many types of machine learning and know how to gauge performancePrepare for and find a career in data science Who This Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field-helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.…

Condizione: NEW.

Condizione: New.

Taschenbuch. Condizione: Neu. A Friendly Guide to Data Science | Everything You Should Know About the Hottest Field in Tech | Kelly P. Vincent | Taschenbuch | Friendly Guides to Technology | xxxvi | Englisch | 2025 | Apress | EAN 9798868811685 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condizione: New. Unlock the world of data science-no coding required.Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics-what data analysis involves, which skills are useful, and how terms like "data analytics" and "machine learning" connect-without getting too technical too fast.Data science isn't just about crunching numbers, pulling data from a database, or running fancy algorithms. It's about asking the right questions, understanding the process from start to finish, and knowing what's possible (and what's not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security-because working with data means thinking about people, too.Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today's most exciting fields. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts- just as AI and data become increasingly central to everyday life. What You Will LearnGrasp foundational statistics and how it matters in data analysis and data scienceUnderstand the data science project life cycle and how to manage a data science projectExamine the ethics of working with data and its use in data analysis and data scienceUnderstand the foundations of data security and privacyCollect, store, prepare, visualize, and present dataIdentify the many types of machine learning and know how to gauge performancePrepare for and find a career in data science Who This Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field-helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Unlock the world of data science no coding required.Curious about data science but not sure where to start This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics what data analysis involves, which skills are useful, and how terms like data analytics and machine learning connect without getting too technical too fast.Data science isn t just about crunching numbers, pulling data from a database, or running fancy algorithms. It s about asking the right questions, understanding the process from start to finish, and knowing what s possible (and what s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security because working with data means thinking about people, too.Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today s most exciting fields. No coding or programming experience No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts just as AI and data become increasingly central to everyday life.What You Will LearnGrasp foundational statistics and how it matters in data analysis and data scienceUnderstand the data science project life cycle and how to manage a data science projectExamine the ethics of working with data and its use in data analysis and data scienceUnderstand the foundations of data security and privacyCollect, store, prepare, visualize, and present dataIdentify the many types of machine learning and know how to gauge performancePrepare for and find a career in data scienceWhoThis Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps. 883 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unlock the world of data science no coding required.Curious about data science but not sure where to start This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics what data analysis involves, which skills are useful, and how terms like data analytics and machine learning connect without getting too technical too fast.Data science isn t just about crunching numbers, pulling data from a database, or running fancy algorithms. It s about asking the right questions, understanding the process from start to finish, and knowing what s possible (and what s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security because working with data means thinking about people, too.Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today s most exciting fields. No coding or programming experience No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts just as AI and data become increasingly central to everyday life.What You Will LearnGrasp foundational statistics and how it matters in data analysis and data scienceUnderstand the data science project life cycle and how to manage a data science projectExamine the ethics of working with data and its use in data analysis and data scienceUnderstand the foundations of data security and privacyCollect, store, prepare, visualize, and present dataIdentify the many types of machine learning and know how to gauge performancePrepare for and find a career in data scienceWhoThis Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Who This Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the fieldhelping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 920 pp. Englisch.…