A Friendly Guide to Data Science

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

• Know what foundational statistics is 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