{"product_id":"dive-into-data-science","title":"Dive Into Data Science","description":"\u003cp\u003e\u003cb\u003eLearn how to use data science and Python to solve everyday business problems.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eDive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, \u003ci\u003eDive Into Data Science\u003c\/i\u003e will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.\u003c\/p\u003e\u003cp\u003eWith only a basic understanding of Python and high school math, you’ll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you’ll discover how to find and use data-driven solutions to make business decisions.\u003c\/p\u003e\u003cp\u003eTopics covered include conducting exploratory data analysis, running A\/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eYou’ll also learn how to:\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eForecast consumer demand\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eOptimize marketing campaigns\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eReduce customer attrition\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003ePredict website traffic\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eBuild recommendation systems\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWith this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don’t wait; dive right in!\u003c\/p\u003e\u003ch3\u003eAbout the Author\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eBradford Tuckfield\u003c\/b\u003e is a data scientist, a consultant, and a writer. He received a PhD from the Wharton School of the University of Pennsylvania, and a BS in Mathematics from Brigham Young University. He is the author of \u003ci\u003eDive Into Algorithms\u003c\/i\u003e (No Starch Press) and \u003ci\u003eApplied Unsupervised Learning with R\u003c\/i\u003e (Packt). In addition to working as a data scientist and tech manager for top finance firms and startups, his research has appeared in academic journals spanning math, business management, and medicine.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of contents \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eAcknowledgments \u003c\/p\u003e\u003cp\u003eIntroduction \u003c\/p\u003e\u003cp\u003eChapter 1: Exploratory Data Analysis \u003c\/p\u003e\u003cp\u003eChapter 2: Forecasting \u003c\/p\u003e\u003cp\u003eChapter 3: Group Comparisons \u003c\/p\u003e\u003cp\u003eChapter 4: A\/B Testing \u003c\/p\u003e\u003cp\u003eChapter 5: Binary Classification \u003c\/p\u003e\u003cp\u003eChapter 6: Supervised Learning \u003c\/p\u003e\u003cp\u003eChapter 7: Unsupervised Learning \u003c\/p\u003e\u003cp\u003eChapter 8: Web Scraping \u003c\/p\u003e\u003cp\u003eChapter 9: Recommendation Systems \u003c\/p\u003e\u003cp\u003eChapter 10: Natural Language Processing \u003c\/p\u003e\u003cp\u003eChapter 11: Data Science in Other LanguagesIndex\u003c\/p\u003e","brand":"No Starch Press","offers":[{"title":"Paperback","offer_id":50506311303238,"sku":"9781718502888","price":3348.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506311336006,"sku":"9781718502888-2","price":3151.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/51yI8q-l1EL._SX375_BO1_204_203_200.jpg?v=1790326408","url":"https:\/\/cb-india.com\/products\/dive-into-data-science","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}