{"product_id":"dive-into-data-science-isbn-9781718502888","title":"Dive Into Data Science","description":"\u003cb\u003eLearn how to use data science and Python to solve everyday business problems.\u003c\/b\u003e\u003cbr\u003e\u003cbr\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.\u003cbr\u003e\u003cbr\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.\u003cbr\u003e\u003cbr\u003eTopics covered include conducting exploratory data analysis, running A\/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.\u003cbr\u003e\u003cbr\u003eYou’ll also learn how to:\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eForecast consumer demand \u003c\/li\u003e\n\u003cli\u003eOptimize marketing campaigns\u003c\/li\u003e\n\u003cli\u003eReduce customer attrition\u003c\/li\u003e\n\u003cli\u003ePredict website traffic\u003c\/li\u003e\n\u003cli\u003eBuild recommendation systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\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!\u003cb\u003eAcknowledgments\u003cbr\u003eIntroduction\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eChapter 1:\u003c\/b\u003e Exploratory Data Analysis\u003cbr\u003e\u003cb\u003eChapter 2:\u003c\/b\u003e Forecasting\u003cbr\u003e\u003cb\u003eChapter 3:\u003c\/b\u003e Group Comparisons\u003cbr\u003e\u003cb\u003eChapter 4:\u003c\/b\u003e A\/B Testing\u003cbr\u003e\u003cb\u003eChapter 5:\u003c\/b\u003e Binary Classification\u003cbr\u003e\u003cb\u003eChapter 6:\u003c\/b\u003e Supervised Learning\u003cbr\u003e\u003cb\u003eChapter 7:\u003c\/b\u003e Unsupervised Learning\u003cbr\u003e\u003cb\u003eChapter 8:\u003c\/b\u003e Web Scraping\u003cbr\u003e\u003cb\u003eChapter 9: \u003c\/b\u003eRecommendation Systems\u003cbr\u003e\u003cb\u003eChapter 10: \u003c\/b\u003eNatural Language Processing\u003cbr\u003e\u003cb\u003eChapter 11:\u003c\/b\u003e Data Science in Other Languages\u003cbr\u003e\u003cb\u003eIndex\u003c\/b\u003e\"Strikes a nice balance of explaining fundamental data science concepts and theories, while also equipping readers with hands-on practice with Python. . . . definitely a good place to start data science.\"\u003cbr\u003e\u003cb\u003e—Ben Dickson, TechTalks\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\"\u003ci\u003eDive Into Data Science\u003c\/i\u003e is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you’ll find this book a welcomed joy and refer to it for years to come.\"\u003cbr\u003e\u003cb\u003e—David S. Mazel, Principal\/Manager Systems Engineer, Regulus-Group\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e\"Another nice learning resource for newbie data scientists.\"\u003cb\u003e\u003cbr\u003e—Daniel D. Gutierrez, Editor-in-Chief, insideBIGDATA\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e\"I highly recommend this book . . . The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here’s what’s happening and what this approach is good for'. I think Dr. Tuckfield has done it.\"\u003cb\u003e\u003cbr\u003e—Dr. Daniel Zingaro, author of \u003ci\u003eAlgorithmic Thinking\u003c\/i\u003e and \u003ci\u003eLearn to Code by Solving Problems\u003cbr\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\"\u003ci\u003e\u003ci\u003eDive Into Data Science\u003c\/i\u003e\u003c\/i\u003e is a concise, accessible guide that demystifies the essential tools and techniques used by data scientists, allowing anyone with a basic understanding of programming to explore and analyze data like a pro.\"\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003cb\u003e—Allen B. Downey, Staff Producer at Brilliant and author of \u003c\/b\u003e\u003ci\u003e\u003cb\u003eElements of Data Science\u003c\/b\u003e\u003c\/i\u003e\u003cb\u003e and \u003ci\u003eModeling and Simulation in Python\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\"Comprehensive and thoroughly 'user friendly' in in organization and presentation, [\u003ci\u003eDive Into Data Science\u003c\/i\u003e] is the ideal instructional reference guide to utilizing Python as a basic and essential part of doing business in today's increasing complex, competitive, and digital world . . . . a highly recommended addition to personal, professional, community, corporate, college, and university library Computer Programming \u0026amp; Business Management collections and supplemental MBA curriculum studies lists.\"\u003cbr\u003e\u003cb\u003e—Midwest Book Review\u003c\/b\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.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":46302594007269,"sku":"NP9781718502888","price":39.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718502888.jpg?v=1767725258","url":"https:\/\/k12savings.com\/products\/dive-into-data-science-isbn-9781718502888","provider":"K12savings","version":"1.0","type":"link"}