000			03065nam a22003017a 4500
003			OSt
005			20230816154158.0
008			230816b |||||||| |||| 00| 0 eng d
020			_a9781260597745 _c[paperback].
020			_cMindmovers :
020			_c₱8,250.00
040			_bEnglish _cFoundation University Library
082			_a658.8 _bH12 2022
100			_aHair, Joseph F. _dJr. _eAuthor. _96853
245			_aEssentials of marketing analytics / _cby Joseph Hair, Dana E. Harrison and Haya Ajjan
250			_aFirst Edition.
260			_a New York, NY : _bMcGraw Hill, _c2022
300			_axviii, 462 pages : _bcolor illustrations, _c26 cm.
500			_a"This International Student Edition is for use outside of the U.S." --On Cover
504			_aIncludes bibliographical references and index.
505			_aContents: PART ONE: OVERVIEW OF MARKETING ANALYTICS AND DATA MANAGEMENT. Chapter 1: Introduction to Marketing Analytics; Chapter 2: Data Management. PART TWO: EXPLORING AND VISUALIZING DATA PATTERNS. Chapter 3: Exploratory Data Analysis Using Cognitive Analytics ; Chapter 4: Data Visualization. PART THREE: ANALYTICAL METHODS FOR SUPERVISED LEARNING. Chapter 5: Regression Analysis; Chapter 6: Neural Networks; Chapter 7: Automated Machine Learning. PART FOUR: ANALYTICAL METHODS FOR UNSUPERVISED LEARNING. Chapter 8: Cluster Analysis; Chapter 9: Market Basket Analysis. PART FIVE: EMERGING ANALYTICAL APPROACHES. Chapter 10: Natural Language Processing - Text Mining and Sentiment Analysis; Chapter 11: Social Network Analysis; Chapter 12: Web Analytics. GLOSSARY. INDEX.
520			_a"The starting point in learning marketing analytics is to understand the marketing problem. The second is asking the right business question. The data will help you tell the story. We live in a global, highly competitive, rapidly changing world that is increasingly influenced by digital data, expanded analytical capabilities, information technology, social media and more. The era of Big Data has literally brought about huge amounts of data to review, analyze and solve. Today’s undergraduate and graduate students will need to have a keen understanding of not only the right types of questions to ask, but also the tools available to help answer them. Essentials of Marketing Analytics covers both, in a comprehensive, readable and flexible manner. 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 1e is the most comprehensive, current, adaptable product on the market!" --Provided by the Publisher
650			_aMarketing research. _95225
650			_aBig data. _96854
700			_aHarrison, Dana E. _eAuthor. _96855
700			_aAjjan, Haya _eAuthor. _96856
942			_2ddc _cBK _n0
999			_c3246 _d3246