Название: Modern Business Analytics: Practical Data Science for Decision-making
Автор: Matt Taddy, Leslie Hendrix, Matthew C. Harding
Издательство: McGraw Hill
Год: 2023
Страниц: 465
Язык: английский
Формат: pdf (true)
Размер: 34.6 MB
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 practice of data analytics is changing and modernizing. Innovations in computation and Machine Learning are creating new opportunities for the data analyst: exposing previously unexplored data to scientific analysis, scaling tasks through automation, and allowing deeper and more accurate modeling. Spreadsheet models and pivot tables are being replaced by code scripts in languages like R and Python. There has been massive growth in digitized information, accompanied by development of systems for storage and analysis of this data. There has also been an intellectual convergence across fields - Machine Learning and Computer Science, statistics, and social sciences and economics - that has raised the breadth and quality of applied analysis everywhere. This is the Data Science approach to analytics, and it allows leaders to go deeper than ever to understand their operations, products, and customers.