Modern Business Analytics

by Matt Taddy, Leslie Hendrix, Matthew Harding

This higher-ed text takes a practical, modern approach to data science and business analytics for the analytics student or professional. It helps them learn by doing, with real data analysis examples that explain the "why", rather than the "what" in decision-making discussions. It uses R as the primary technology throughout the text and includes an end-of-chapter reference to the basic R recipes in each chapter. The text uses tools from economics and statistics in combination with machine learning techniques to create a platform for using data to make decisions. It is written by Matt Taddy, successful author of the McGraw Hill Professional title, Business Data Science , former professor at the University of Chicago (‘08–‘18), and Vice President at Amazon, alongside his esteemed colleagues, Dr. Leslie Hendrix, associate professor at the Darla Moore School of Business at the University of South Carolina, and Dr. Matthew C. Harding, professor of economics and statistics at the University of California, Irvine. With their collective authorship, Modern Business Practical Data Science for Decision Making has crossed the boundaries and created something truly interdisciplinary.

464 pages, Hardcover

Published March 7, 2022

Reviews

[Marcelo Muzzi]

Really fantastic book on statistics for business contexts (analysis, decision making, etc). To me this book excels at really discussing the ideas, purposes, and application of statistical techniques to actual problems. Instead of simply applying theorems and formulas, the authors take you on discussions of why certain modeling techniques would apply / make sense for the specific problems studied.