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020 _a9789355327192
082 _a658.8
_bHAI
100 _aHair, Josheph F.
_924813
245 _aEssentials of marketing analytics
260 _aChennai
_bMcGraw Hill Education (India) Private Limited
_c2025
300 _axx, 492 p.
365 _aINR
_b925.00
500 _aTable 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]
520 _aIn 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)
650 _aMarketing
700 _aHarrison, Dana E.
_925180
700 _aAjjan, Haya
_925181
700 _aAdhikari, Atanu
_925182
942 _cBK
_2ddc
999 _c10220
_d10220