Essentials of marketing analytics
Material type:
TextPublication details: Chennai McGraw Hill Education (India) Private Limited 2025Description: xx, 492 pISBN: - 9789355327192
- 658.8 HAI
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Book
|
Indian Institute of Management LRC General Stacks | Marketing | 658.8 HAI (Browse shelf(Opens below)) | 1 | Available | 008954 |
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
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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!
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