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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik A Friendly Guide to Data Science
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A Friendly Guide to Data Science
Kelly P. Vincent (Broschiert, Englisch)
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Beschreibung
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. 48,14 €
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Technische Daten
Erscheinungsdatum
27.06.2025
Sprache
Englisch
EAN
9798868811685
Herausgeber
APRESS
Serien- oder Bandtitel
Friendly Guides to Technology
Sonderedition
Nein
Autor
Kelly P. Vincent
Seitenanzahl
884
Einbandart
Broschiert
Buch Untertitel
Everything You Should Know About the Hottest Field in Tech
Schlagwörter
Data science for beginners, Data analytics for beginners, Non-technical data science, Data ethics, Big Data, AI books, Introduction to data science, Data science fundamentals, Descriptive and inferential statistics, Ethical data science, Machine learning basics, Data storytelling, Python and R for data science, Data visualization for beginners, Data science career guide, Data science with Python, Cloud and scalable data science, Data science book for students, Data science for business professionals, Data science without programming
Thema-Inhalt
UN - Datenbanken
UNH - Informationsrückgewinnung, Information Retrieval
UND - Data Warehousing
UYQM - Maschinelles Lernen
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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