A Friendly Guide to Data Science: Everything You Should Know About the Hottest Field in Tech by Kelly P. Vincent ISBN 9798868811685, 9798868811692, 8868811685, 8868811693 instant download

A Friendly Guide to Data Science: Everything You Should Know About the Hottest Field in Tech by Kelly P. Vincent ISBN 9798868811685, 9798868811692, 8868811685, 8868811693 instant download

Overview
• Covers the breadth of the discipline of real-world data science
• Includes insightful interviews with practitioners
• Accessible guidebook even if you do not yet have experience in programming or business
 
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.
 
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. …