Data Smart: Using Data Science to Transform Information into Insight Author: Jordan Goldmeier

Data Smart: Using Data Science to Transform Information into Insight by Jordan Goldmeier is a highly accessible and practitioner-focused guide for making data science meaningful, actionable, and approachable. Published by Wiley, this second edition expands on foundational techniques that empower readers to not only interpret data but to use it to drive smarter decision-making in business, marketing, and everyday scenarios.

Goldmeier structures the book around core principles that elevate analytical thinking:

Data visualization: using graphical tools to clarify patterns and trends

Predictive modeling: creating models to forecast behavior and outcomes

Data wrangling: preparing and refining datasets for maximum usability

Machine learning: integrating intelligent systems with real-world datasets

Storytelling with data: presenting insights in compelling, persuasive ways

What makes this book stand out is its emphasis on practical application over academic theory. Readers are guided through case studies and tutorials using tools like Excel, R, and Python, while gaining fluency in turning information into insight—even without a deep technical background.

Whether you're an analyst, entrepreneur, educator, or decision-maker, Data Smart equips you with the mindset and methodology to unlock data’s potential. Goldmeier brings humor, clarity, and strategic thinking to a field often viewed as daunting—making it not just readable, but downright enjoyable.