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href="https://nostarch.com/sites/default/files/styles/uc_product_full/public/DiveIntoDataScience_CV_COMP_0.png?itok=KLy85SoA" title="Dive Into Data Science cover" class="colorbox" rel="uc_image_0"><img class="img-responsive" src="https://nostarch.com/sites/default/files/styles/uc_product/public/DiveIntoDataScience_CV_COMP_0.png?itok=oZvEkJwX" alt="Dive Into Data Science cover" title="Dive Into Data Science cover" /></a></div></div></div></div></div><div class="field field-name-entity-title field-type-ds field-label-hidden"><div class="field-items"><div class="field-item even"><h1 class="page-header">Dive Into Data Science</h1></div></div></div><div class="field field-name-field-subtitle field-type-text field-label-hidden"><div class="field-items"><div class="field-item even">Use Python to Tackle Your Toughest Business Challenges</div></div></div><div class="field field-name-field-author field-type-text field-label-hidden"><div class="field-items"><div class="field-item even">by Bradford Tuckfield</div></div></div><div class="field field-name-released-date field-type-ds field-label-hidden"><div class="field-items"><div class="field-item even">April 2023, 288 pp.</div></div></div><div class="field field-name-field-isbn13 field-type-text field-label-inline clearfix clearfix"><div class="field-label">ISBN-13: </div><div class="field-items"><div class="field-item even">9781718502888</div></div></div><div class="field field-name-field-special field-type-text field-label-hidden"><div class="field-items"><div class="field-item even">Lay-flat binding</div></div></div><div class="add-to-cart"><form action="/dive-data-science" method="post" id="uc-product-add-to-cart-form-697" accept-charset="UTF-8"><div><div id="uc_product_add_to_cart_form-697-attributes" class="attributes"><div class="attribute attribute-1 odd"><div class="form-item form-item-attributes-1 form-type-radios form-group"><div id="edit-attributes-1" class="form-radios"><div class="form-item form-item-attributes-1 form-type-radio radio"> <label class="control-label" for="edit-attributes-1-3"><input type="radio" id="edit-attributes-1-3" name="attributes[1]" value="3" checked="checked" class="form-radio" />Print Book and FREE Ebook, $39.99</label> </div><div class="form-item form-item-attributes-1 form-type-radio radio"> <label class="control-label" for="edit-attributes-1-2"><input type="radio" id="edit-attributes-1-2" name="attributes[1]" value="2" class="form-radio" />Ebook (PDF, Mobi, and ePub), $31.99</label> </div></div></div></div></div><input type="hidden" name="qty" value="1" /> <input type="hidden" name="form_build_id" value="form-2YJ0debzL8XjP9BWz1r768B8pqYzXd26-FMQP29meTg" /> <input type="hidden" name="form_id" value="uc_product_add_to_cart_form_697" /> <div class="form-actions form-wrapper form-group" id="edit-actions"><button class="node-add-to-cart btn btn-success form-submit icon-before" type="submit" id="edit-submit-697" name="op" value="Add to cart"><span class="icon glyphicon glyphicon-plus" aria-hidden="true"></span> Add to cart</button> </div></div></form></div><div class="field field-name-product-menu field-type-ds field-label-hidden"><div class="field-items"><div class="field-item even"><div class="menu-wrapper"><ul class="menu nav"><li><a href="#content">Contents</a></li><li><a href="#reviews">Reviews</a></li><li><a href="#updates">Updates</a></li></ul></div></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>Look Inside!</strong></p> <div class="lookinside"><a class="colorbox" href="/images/DiveDataScience_back.png"><img alt="Dive Into Data Science back cover" src="/images/DiveDataScience_back.png" style="border:1px solid; height:102px; margin:5px" title="Dive Into Data Science pages back cover" /></a><a class="colorbox" href="/images/DiveIntoDataScience_pp14-15.png"><img alt="Dive Into Data Science pages 14-15" src="/images/DiveIntoDataScience_pp14-15.png" style="border:1px solid; height:102px; margin:5px" title="Dive Into Data Science pages 14-15" /></a><a class="colorbox" href="/images/DiveIntoDataScience_pp126-127.png"><img alt="Dive Into Data Science pages 126-127" src="/images/DiveIntoDataScience_pp126-127.png" style="border:1px solid; height:102px; margin:5px" title="Dive Into Data Science pages 126-127" /></a><a class="colorbox" href="/images/DiveIntoDataScience_pp220-221.png"><img alt="Dive Into Data Science pages 220-221" src="/images/DiveIntoDataScience_pp220-221.png" style="border:1px solid; height:102px; margin:5px" title="Dive Into Data Science pages 220-221" /></a></div> <p><a class="btn btn-success downloadbutton" href="/download/DiveIntoDataScience_sample_ch2_03.02.23.pdf" style="font-weight: 400;" target="_blank">Download Chapter 2: FORECASTING</a></p> <p>Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, <em>Dive Into Data Science</em> will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.</p> <p>With only a basic understanding of Python and聽high school math, you鈥檒l be able to effortlessly work聽through the book and start implementing data science聽in your day-to-day work. From improving a bike sharing company to extracting data from websites聽and creating recommendation systems, you鈥檒l discover how to find and use data-driven solutions to make business decisions.</p> <p>Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.</p> <p>You鈥檒l also learn how to:</p> <ul> <li>Forecast consumer demand聽</li> <li>Optimize marketing campaigns</li> <li>Reduce customer attrition</li> <li>Predict website traffic</li> <li>Build recommendation systems</li> </ul> <p>With this practical guide at your fingertips, harness聽the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don鈥檛 wait; dive right in!</p> </div></div></div><div class="field field-name-field-author-bio field-type-text-long field-label-abovec"><div class="field-label">Author Bio </div><div class="field-items"><div class="field-item even"><p><b>Bradford Tuckfield</b> is a data science consultant and writer. He received a PhD from the Wharton School of the University of Pennsylvania and a BS in math from Brigham Young University. He has worked as a data scientist and tech manager for top finance firms and startups.</p> </div></div></div><div class="field field-name-field-toc field-type-text-long field-label-abovec" id="content"><div class="field-label">Table of contents </div><div class="field-items"><div class="field-item even"><p>Acknowledgments<br /> Introduction<br /> Chapter 1: Exploratory Data Analysis<br /> Chapter 2: Forecasting<br /> Chapter 3: Group Comparisons<br /> Chapter 4: A/B Testing<br /> Chapter 5: Binary Classification<br /> Chapter 6: Supervised Learning<br /> Chapter 7: Unsupervised Learning<br /> Chapter 8: Web Scraping<br /> Chapter 9: Recommendation Systems<br /> Chapter 10: Natural Language Processing<br /> Chapter 11: Data Science in Other Languages<br /> Index</p> <p><a href="download/Tuckfield502888_copyright.pdf" style="text-decoration:underline;" target="_blank"><strong>View the Copyright page</strong></a><br /> <a href="/download/Tuckfield502888_detailedTOC.pdf" style="text-decoration:underline;" target="_blank"><strong>View the detailed Table of Contents</strong></a><br /> <a href="/download/Tuckfield502888_index.pdf" style="text-decoration:underline;" target="_blank"><strong>View the Index</strong></a></p> </div></div></div><div class="field field-name-field-reviews field-type-text-long field-label-abovec" id="reviews"><div class="field-label">Reviews </div><div class="field-items"><div class="field-item even"><p>"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."<br /> <strong>鈥擝en Dickson, TechTalks</strong></p> <p>"<em>Dive Into Data Science</em> 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鈥檒l find this book a welcomed joy and refer to it for years to come."<br /> <strong>鈥擠avid S. Mazel, Principal/Manager Systems Engineer, Regulus-Group</strong></p> <p>"Another nice learning resource for newbie data scientists."<br /> <strong>鈥擠aniel D. Gutierrez, Editor-in-Chief, insideBIGDATA</strong></p> <p>"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鈥檚 what鈥檚 happening and what this approach is good for'. I think Dr. Tuckfield has done it."<br /> <strong>鈥擠r. Daniel Zingaro, author of <em>Algorithmic Thinking</em> and <em>Learn to Code by Solving Problems</em></strong></p> <p>"<em>Dive Into Data Science</em> 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."<br /> <strong>鈥擜llen B. Downey, Staff Producer at Brilliant and author of<em> Elements of Data Science</em> and <em>Modeling and Simulation in Python</em></strong></p> <p>"Comprehensive and thoroughly 'user friendly' in in organization and presentation, [<em>Dive Into Data Science</em>] 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 & Business Management collections and supplemental MBA curriculum studies lists."<br /> <strong>鈥擬idwest Book Review</strong></p> </div></div></div><div class="field field-name-field-updates field-type-text-long field-label-abovec" id="updates"><div class="field-label">Updates </div><div class="field-items"><div class="field-item even"><p>View the <a href="/download/DiveIntoDataScience_errata_p1.pdf" target="_blank" style="text-decoration:underline;"><u><b>latest errata</b></u></a>.</p> </div></div></div> </div> </div> </section> <section id="block-shariff-shariff-block" class="block block-shariff clearfix"> <div class="shariff" data-services="["facebook","print","twitter"]" data-theme="colored" data-orientation="horizontal" data-twitter-via="nostarch" data-lang="en"></div> </section> </div> </section> <aside class="col-sm-3" role="complementary"> <div class="region region-sidebar-second"> <section id="block-system-navigation" class="block block-system block-menu clearfix"> <h2 class="block-title">Navigation</h2> <ul class="menu nav"><li class="first last leaf"><a href="/user" title="">My account</a></li> </ul> </section> <section id="block-block-52" class="block block-block clearfix"> <p><a href="/mailchimp/subscribe">Want sweet deals? 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