Description
Written by Matt Taddy successful author of the McGraw Hill Professional title Business Data Science graduate of University of Chicago and Amazon Chief Economist. This new higher-ed text takes a practical modern approach to data science and business analytics for the graduate-level business analytics student or professional. It takes a learn-by-doing approach with real data analysis examples that explain the “why” rather than the “what” in the 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. The Connect product that supports the text includes Interactive Activities that have students explore content more deeply Excel activities like Integrated Excel andamp; Applying Excel and a Prep Course that helps students refresh on fundamental pre-requisite knowledge they need to know prior to this course.
