
Essentials of Marketing Analytics
2024 Release
by Joseph F. Hair, Dana E. Harrison
1st Edition
Publisher: McGraw-Hill Higher Education
Book Details
| Print ISBN | 9781264686308 |
| eText ISBN | 9781264263653 |
| Publisher | McGraw-Hill Higher Education |
| Publishing Year | 2021 |
| Edition | 1st Edition |
| Language | English |
Essentials of Marketing Analytics, 1st Edition, is a textbook designed to instruct undergraduate and graduate students on addressing marketing problems with analytical tools. The volume emphasizes that the starting point in learning analytics involves understanding the primary marketing challenge and identifying the right business questions to ask.
The text addresses foundational topics such as data management, exploratory techniques, and data visualization. It also introduces analytical methods for supervised and unsupervised learning, as well as emerging approaches in digital marketing analytics.
To support academic coursework, the textbook includes a student learning package delivered through the McGraw Hill Connect platform to assist learners throughout their studies.
Table of Contents
PART 1: OVERVIEW OF MARKETING ANALYTICS AND DATA MANAGEMENT
Chapter 1: Introduction to Marketing Analytics
Chapter 2: Data Management
PART 2: EXPLORING AND VISUALIZING DATA PATTERNS
Chapter 3: Exploratory Data Analysis Using Cognitive Analytics
Chapter 4: Data Visualization
PART 3: ANALYTICAL METHODS FOR SUPERVISED LEARNING
Chapter 5: Regression Analysis
Chapter 6: Neural Networks
Chapter 7: Automated Machine Learning
PART 4: ANALYTICAL METHODS FOR UNSUPERVISED LEARNING
Chapter 8: Cluster Analysis
Chapter 9: Market Basket Analysis
PART 5: EMERGING ANALYTICAL APPROACHES
Chapter 10: Natural Language Processing
Chapter 11: Social Network Analysis
Chapter 12: Fundamentals of Digital Marketing Analytics
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