Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges b

Description: FREE SHIPPING UK WIDE Dive Into Data Science by Bradford Tuckfield "Learn how to apply the principles of data science to improve business strategies. Chapters cover concepts such as A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples"-- FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Learn how to use data science and Python to solve everyday business problems.Learn how to use data science and Python to solve everyday business problems.Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.With only a basic understanding of Python and high school math, youll 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, youll discover how to find and use data-driven solutions to make business decisions.Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.Youll also learn how to-Forecast consumer demandOptimize marketing campaignsReduce customer attritionPredict website trafficBuild recommendation systemsWith 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. Dont wait; dive right in! Author Biography Bradford Tuckfield 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 Dive Into Algorithms (No Starch Press) and Applied Unsupervised Learning with R (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. Table of Contents AcknowledgmentsIntroductionChapter 1: Exploratory Data AnalysisChapter 2: ForecastingChapter 3: Group ComparisonsChapter 4: A/B TestingChapter 5: Binary ClassificationChapter 6: Supervised LearningChapter 7: Unsupervised LearningChapter 8: Web ScrapingChapter 9: Recommendation SystemsChapter 10: Natural Language ProcessingChapter 11: Data Science in Other LanguagesIndex Review "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."—Ben Dickson, TechTalks"Dive Into Data Science 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 youll find this book a welcomed joy and refer to it for years to come."—David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group"Another nice learning resource for newbie data scientists."—Daniel D. Gutierrez, Editor-in-Chief, insideBIGDATA"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 heres whats happening and what this approach is good for. I think Dr. Tuckfield has done it."—Dr. Daniel Zingaro, author of Algorithmic Thinking and Learn to Code by Solving Problems"Dive Into Data Science 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."—Allen B. Downey, Staff Producer at Brilliant and author of Elements of Data Science and Modeling and Simulation in Python"Comprehensive and thoroughly user friendly in in organization and presentation, [Dive Into Data Science] is the ideal instructional reference guide to utilizing Python as a basic and essential part of doing business in todays increasing complex, competitive, and digital world . . . . a highly recommended addition to personal, professional, community, corporate, college, and university library Computer Programming & Business Management collections and supplemental MBA curriculum studies lists."—Midwest Book Review Details ISBN1718502885 Author Bradford Tuckfield Language English ISBN-10 1718502885 ISBN-13 9781718502888 Format Paperback Publisher No Starch Press,US Imprint No Starch Press,US Place of Publication San Francisco Country of Publication United States Year 2023 Publication Date 2023-07-04 AU Release Date 2023-07-04 NZ Release Date 2023-07-04 US Release Date 2023-07-04 UK Release Date 2023-07-04 Subtitle Use Python To Tackle Your Toughest Business Challenges DEWEY 658.40120285 Audience General Pages 288 We've got this At The Nile, if you're looking for it, we've got it. 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