{"product_id":"marketing-data-science","title":"Marketing Data Science","description":"\u003cp\u003eIn \u003cb\u003e\u003ci\u003eMarketing Data Science\u003c\/i\u003e\u003c\/b\u003e, a top faculty member of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eBuilding on his predictive analytics program at Northwestern, Miller covers segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eStarting where his widely-praised \u003ci\u003eModeling Techniques in Predictive Analytics\u003c\/i\u003e left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \n The role of analytics in delivering effective messages on the web  \u003c\/li\u003e\n \u003cli\u003e \n Understanding the web by understanding its hidden structures  \u003c\/li\u003e\n \u003cli\u003e \n Being recognised on the web – and watching your own competitors  \u003c\/li\u003e\n \u003cli\u003e \n Visualising networks and understanding communities within them  \u003c\/li\u003e\n \u003cli\u003e \n Measuring sentiment and making recommendations  \u003c\/li\u003e\n \u003cli\u003e \n Leveraging key data science methods: databases\/data preparation, classical\/Bayesian statistics, regression\/classification, machine learning, and text analytics  \u003c\/li\u003e\n \u003c\/ul\u003e \u003cp\u003eSix complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and\/or R.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eThe full text downloaded to your computer\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eWith eBooks you can:\u003c\/p\u003e \u003cul\u003e \u003cli\u003esearch for key concepts, words and phrases \u003c\/li\u003e\n \u003cli\u003emake highlights and notes as you study \u003c\/li\u003e\n \u003cli\u003eshare your notes with friends \u003c\/li\u003e\n \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eeBooks \u003c\/strong\u003eare downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. \u003c\/p\u003e \u003cp\u003eUpon purchase, you'll gain instant access to this eBook.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTime limit\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThe \u003cstrong\u003eeBooks\u003c\/strong\u003e products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.\u003c\/p\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":46286527201518,"sku":"9780133887341","price":71.96,"currency_code":"AUD","in_stock":true}],"url":"https:\/\/bookland.com.au\/products\/marketing-data-science","provider":"Book Land AU","version":"1.0","type":"link"}