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Synopsis
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 Learn
- Grasp foundational statistics and how it matters in data analysis and data science
- Understand the data science project life cycle and how to manage a data science project
- Examine the ethics of working with data and its use in data analysis and data science
- Understand the foundations of data security and privacy
- Collect, store, prepare, visualize, and present data
- Identify the many types of machine learning and know how to gauge performance
- Prepare for and find a career in data science
Who This Book is for
A 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Kelly P. Vincent is a data nerd. As soon as they saw their first spreadsheet, they knew they had to fill it with data and figure out how to analyze it. After doing software engineering work in data science and natural language processing spaces, Kelly landed their dream job--data scientist--at a Fortune 500 company in 2017, before moving on in 2022 to another Fortune 500 company. They have specialized in the at-first-barely-used programming language Python for nearly 20 years. Kelly has a BA degree in Mathematical Sciences, an MSc degree in Speech and Language Processing, and an MS degree in Information Systems. Kelly is also in the Doctor of Technology program at Purdue University. They keep their skills up to date with continuing education. They have worked in many different industries that have given them a range of domain knowledge, including education, bioinformatics, microfinancing, B2B tech, and retail.
Kelly hasn't let their love of data and programming get in the way of their other love--writing. They're a novelist in multiple genres and have won several awards for their novels. Kelly considered how they could combine writing and data science, and finally spotted an untapped market with the growth of undergraduate data science and analytics degrees.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9798868811685
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9798868811685
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 topicswhat data analysis involves, which skills are useful, and how terms like "data analytics" and "machine learning" connectwithout getting too technical too fast.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 920 pp. Englisch. N° de réf. du vendeur 9798868811685
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Paperback. Etat : new. Paperback. Unlock the world of data scienceno 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 topicswhat data analysis involves, which skills are useful, and how terms like data analytics and machine learning connectwithout getting too technical too fast.Data science isnt just about crunching numbers, pulling data from a database, or running fancy algorithms. Its about asking the right questions, understanding the process from start to finish, and knowing whats possible (and whats not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and securitybecause 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 todays 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 fieldhelping them explore the landscape before committing to more intensive learning paths like degrees or boot camps. What is data and how does it fit into data science? What does data analytics refer to in the context of data analysis and data science?Data science involves far more than pulling data out of a database and running machine learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798868811685
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