Essentials of marketing analytics
Hair, Josheph F.
Essentials of marketing analytics - Chennai McGraw Hill Education (India) Private Limited 2025 - xx, 492 p.
Table of contents:
PART 1: OVERVIEW OF MARKETING ANALYTICS AND DATA MANAGEMENT
1. Introduction to Marketing Analytics
2. Data Management
PART 2: EXPLORING AND VISUALIZING DATA PATTERNS
3. Exploratory Data Analysis Using Cognitive Analytics
4. Data Visualization
PART 3: ANALYTICAL METHODS FOR SUPERVISED LEARNING
5. Regression Analysis
6. Neural Networks
7. Automated Machine Learning
PART 4: ANALYTICAL METHODS FOR UNSUPERVISED LEARNING
8. Cluster Analysis
9. Market Basket Analysis
PART 5: EMERGING ANALYTICAL APPROACHES
10. Natural Language Processing
11. Social Network Analysis
12. Fundamentals of Digital Marketing Analytics
[https://www.mheducation.com/highered/product/Essentials-of-Marketing-Analytics-Hair.html#mh-ecomm-he-product-accordion-34496518-heading-mh-ecomm-accordion-list-9720604b5a]
In the era of Big Data, students must grasp not only the right questions but also the tools to answer them. Essentials of Marketing Analytics provides a comprehensive, readable, and flexible guide for undergraduates and graduates. Coverage includes the most popular analytics software tools, such as Tableau and Python, as well as a variety of analytical techniques, including but not limited to social network analysis, automated machine learning, neural networking and more. Supported by a robust student and learning package via McGraw Hill Connect, Essentials of Marketing Analytics is the most comprehensive, current, adaptable product on the market!
(https://www.mheducation.com/highered/product/Essentials-of-Marketing-Analytics-Hair.html#mh-ecomm-he-product-accordion-34496518-heading-mh-ecomm-accordion-list-323cf10a61)
9789355327192
Marketing
658.8 / HAI
Essentials of marketing analytics - Chennai McGraw Hill Education (India) Private Limited 2025 - xx, 492 p.
Table of contents:
PART 1: OVERVIEW OF MARKETING ANALYTICS AND DATA MANAGEMENT
1. Introduction to Marketing Analytics
2. Data Management
PART 2: EXPLORING AND VISUALIZING DATA PATTERNS
3. Exploratory Data Analysis Using Cognitive Analytics
4. Data Visualization
PART 3: ANALYTICAL METHODS FOR SUPERVISED LEARNING
5. Regression Analysis
6. Neural Networks
7. Automated Machine Learning
PART 4: ANALYTICAL METHODS FOR UNSUPERVISED LEARNING
8. Cluster Analysis
9. Market Basket Analysis
PART 5: EMERGING ANALYTICAL APPROACHES
10. Natural Language Processing
11. Social Network Analysis
12. Fundamentals of Digital Marketing Analytics
[https://www.mheducation.com/highered/product/Essentials-of-Marketing-Analytics-Hair.html#mh-ecomm-he-product-accordion-34496518-heading-mh-ecomm-accordion-list-9720604b5a]
In the era of Big Data, students must grasp not only the right questions but also the tools to answer them. Essentials of Marketing Analytics provides a comprehensive, readable, and flexible guide for undergraduates and graduates. Coverage includes the most popular analytics software tools, such as Tableau and Python, as well as a variety of analytical techniques, including but not limited to social network analysis, automated machine learning, neural networking and more. Supported by a robust student and learning package via McGraw Hill Connect, Essentials of Marketing Analytics is the most comprehensive, current, adaptable product on the market!
(https://www.mheducation.com/highered/product/Essentials-of-Marketing-Analytics-Hair.html#mh-ecomm-he-product-accordion-34496518-heading-mh-ecomm-accordion-list-323cf10a61)
9789355327192
Marketing
658.8 / HAI