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Alan Bernardo
The Art of Data-Driven Business
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826831The Art of Data-Driven Businesshttps://www.gandhi.com.mx/the-art-of-data-driven-business-decisions/phttps://gandhi.vtexassets.com/arquivos/ids/1250534/da70a2a2-0419-48ec-87e3-77a9010685e5.jpg?v=638337706653230000591657MXNPackt PublishingInStock/Ebooks/823999The Art of Data-Driven Business591657https://www.gandhi.com.mx/the-art-of-data-driven-business-decisions/phttps://gandhi.vtexassets.com/arquivos/ids/1250534/da70a2a2-0419-48ec-87e3-77a9010685e5.jpg?v=638337706653230000InStockMXN99999DIEbook20229781804618738_W3siaWQiOiJkODk4Mjg1My0zYmUyLTRkMzItYmYwYy1hMTlkMWEwMjdmYWEiLCJsaXN0UHJpY2UiOjY1NywiZGlzY291bnQiOjY2LCJzZWxsaW5nUHJpY2UiOjU5MSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDQtMDhUMTY6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781804618738_<p><strong>Learn how to make the right decisions for your business with the power of Python machine learning</strong></p><h4>Key Features</h4><ul><li>Use the power of Python machine learning to make the right business decisions</li><li>Follow real-life use cases from the business world to contextualize your learning</li><li>Work your way through practical recipes that will reinforce what you have learned</li></ul><h4>Book Description</h4><p>One of the most valuable uses of data science is in helping businesses make the right decisions. This is a complicated confluence of two disparate worlds, as well as a fiercely competitive market, so youll need all the guidance you can get.</p><p>Whether youre a data scientist wanting to get a business-driven perspective, or you want the decisions in your business to be guided by the power of machine learning, The Art of Data-Driven Business Decisions will be your invaluable guide.</p><p>We start by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but we soon get into the meat of the book and look at the many and varied ways machine learning with Python can be applied to the domain of business decisions through real-world business problems that you can tackle yourself. You will gain priceless practical insights into the value that machine learning can provide to your business, as well as the technical ability to apply a wide variety of tried and tested machine learning methods.</p><p>By the end of this book, you will have learned the value of basing business decisions on data-driven methodologies, and you will have the Python skills to apply what youve learned in the real world.</p><h4>What you will learn</h4><ul><li>Scrape web pages for their data with Python</li><li>Create effective dashboard with Seaborn</li><li>Predict whether a customer will cancel a subscription to a service</li><li>Analyze key pricing metrics with pandas</li><li>Recommend the right products to your customers</li><li>Determine the costs and benefits of promotions</li><li>Segment your customers using clustering algorithms</li><li>Use NLP and Scikit-Learn to improve digital advertisements</li></ul><h4>Who This Book Is For</h4><p>The primary audience are data scientists, machine learning engineers and developers, data engineers, and business decision makers. They want to learn the skills to implement data science projects in the areas of marketing, sales, pricing, customer success, adtech, and more from a business perspective. They want to apply data science for business processes optimization. This book intends to provide a common ground of discussion for several audience profiles within a company. Book is for business people seeking to improve their knowledge on how can data science can be used to improve business operations, and for individuals with technical skills who want to implement successful data science projects within a company and want to back their technical proposal with a strong business case.</p><h4>Table of Contents</h4><ol><li>Data Analysis and Visualization with Pandas and Seaborn</li><li>Machine Learning with Sci-Kit Learn</li><li>Market Trend Insights</li><li>Customer and Product Segmentation</li><li>Estimating Customer Satisfaction</li><li>Predicting Churn and Conversion</li><li>Performing Pricing Analytics</li><li>Forecasting Sales and Recommending Products</li><li>Optimizing Promotion and Stock</li><li>Improving Digital Marketing Strategy</li><li>Interviewing Business Leaders</li></ol>(*_*)9781804618738_<p><strong>Learn how to make the right decisions for your business with the help of Python recipes and the expertise of data leaders</strong></p><h4>Key Features</h4><ul><li>Learn and practice various clustering techniques to gather market insights Explore real-life use cases from the business world to contextualize your learning</li><li>Work your way through practical recipes that will reinforce what you have learned</li></ul><h4>Book Description</h4><p>One of the most valuable contributions of data science is toward helping businesses make the right decisions. Understanding this complicated confluence of two disparate worlds, as well as a fiercely competitive market, calls for all the guidance you can get.</p><p>The Art of Data-Driven Business is your invaluable guide to gaining a business-driven perspective, as well as leveraging the power of machine learning (ML) to guide decision-making in your business. This book provides a common ground of discussion for several profiles within a company.</p><p>Youll begin by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but youll soon get to the meat of the book and explore the many and varied ways ML with Python can be applied to the domain of business decisions through real-world business problems that you can tackle by yourself. As you advance, youll gain practical insights into the value that ML can provide to your business, as well as the technical ability to apply a wide variety of tried-and-tested ML methods.</p><p>By the end of this Python book, youll have learned the value of basing your business decisions on data-driven methodologies and have developed the Python skills needed to apply what youve learned in the real world.</p><h4>What you will learn</h4><ul><li>Create effective dashboards with the seaborn library</li><li>Predict whether a customer will cancel their subscription to a service</li><li>Analyze key pricing metrics with pandas</li><li>Recommend the right products to your customers</li><li>Determine the costs and benefits of promotions</li><li>Segment your customers using clustering algorithms</li></ul><h4>Who this book is for</h4><p>This book is for data scientists, machine learning engineers and developers, data engineers, and business decision makers who want to apply data science for business process optimization and develop the skills needed to implement data science projects in marketing, sales, pricing, customer success, ad tech, and more from a business perspective. Other professionals looking to explore how data science can be used to improve business operations, as well as individuals with technical skills who want to back their technical proposal with a strong business case will also find this book useful.</p>...9781804618738_Packt Publishinglibro_electonico_0312ba2b-9068-3183-9f56-830028ba7056_9781804618738;9781804618738_9781804618738Alan BernardoInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/packt-epub-027cc0ee-477e-4f50-bb77-21306ecddb0c.epub2022-12-02T00:00:00+00:00Packt Publishing