Understand the foundations of data science and modern AI tools with this fully updated beginner's guide

Whether you're a business analyst who's never coded, a manager who’s making data-driven decisions, or a career changer eyeing one of the fastest-growing professions, data science skills are vital to success. In the fourth edition of Data Science For Dummies, Lillian Pierson, a fractional CMO and GTM engineer who has trained over two million learners, delivers a hands-on introduction to the key concepts and tools such as AI-enabled shortcuts that make advanced analytics accessible to everyone.

This updated edition covers generative AI, prompt engineering, and predictive analytics right alongside evergreen fundamentals like Python programming, statistics, and data wrangling. Brand-new chapters explain practical applications using ChatGPT and Claude, while expanded no-code workflows make AI-powered analysis accessible to readers who have never written a single line of code.

Data Science For Dummies walks you through:

• Foundational skills in Python, statistics, and machine learning for beginners and career changers
• Hands-on generative AI coverage with practical demos using ChatGPT and Claude
• No-code workflows that show non-programmers how to perform AI-powered data analysis tasks
• Updated guidance on ethical AI practices, data regulations, and responsible compliance
• Career-focused advice on emerging roles, portfolio building, and industry preparation

Perfect for professionals, students, career changers, and business leaders looking for an accessible launching pad into an exciting and rewarding discipline, Data Science For Dummies gives you the foundational skills and modern AI tools you need to extract insights, create visualizations, and make smarter, data-driven decisions.

Lillian Pierson, PE, is an AI-native growth strategist, advisor, and fractional CMO who helps B2B technology companies modernize their go-to-market strategies and systems. A licensed professional engineer, AI author, and educator, she combines deep technical expertise with growth leadership to help companies scale demand, strengthen competitive positioning, and drive revenue growth. She has written more than a dozen books on AI and data science, supported 10% of Fortune 100 companies, and educated more than two million learners worldwide.