2nd edition. — Wiley, 2024. — 445 p. — ISBN: 9781119931386.
In the newly revised second edition of Data Smart: Using Data Science to Transform Information into Insight, accomplished data scientist and speaker Jordan Goldmeier delivers an approachable and conversational approach to data science using Microsoft Excel’s easily understood features. The author also walks readers through the fundamentals of statistics, machine learning, and powerful artificial intelligence concepts, focusing on how to learn by doing. A must-read guide to data science for everyday, non-technical professionals, Data Smart will earn a place on the bookshelves of students, analysts, data-driven managers, marketers, consultants, business intelligence analysts, demand forecasters, and revenue managers.
Everything You Ever Needed to Know About Spreadsheets but Were Too Afraid to Ask.
Set It and Forget It: An Introduction to Power Query.
Naïve Bayes and the Incredible Lightness of Being an Idiot.
Cluster Analysis Part 1: Using K-Means to Segment Your Customer Base.
Cluster Analysis Part II: Network Graphs and Community Detection.
Regression: The Granddaddy of Supervised Artificial Intelligence.
Ensemble Models: A Whole Lot of Bad Pizza.
Forecasting: Breathe Easy: You Can’t Win.
Optimization Modeling: Because That “Fresh-Squeezed” Orange Juice Ain’t Gonna Blend Itself.
Outlier Detection: Just Because They’re Odd Doesn’t Mean They’re Unimportant.
Moving on From Spreadsheets.