Business Analytics: Data Science for Business Problems

Business Analytics: Data Science for Business Problems
ISBN-10
3030870235
ISBN-13
9783030870232
Series
Business Analytics
Category
Business & Economics
Pages
387
Language
English
Published
2022-01-03
Publisher
Springer Nature
Author
Walter R. Paczkowski

Description

This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3. at least one programming language. Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research.

Other editions

Similar books