{"product_id":"statistical-inference-via-data-science","title":"Statistical Inference Via Data Science","description":"\u003cp\u003e\u003cb\u003eStatistical Inference via Data Science: A ModernDive into R and the Tidyverse, Second Edition\u003c\/b\u003e offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. The first part of this book introduces the tidyverse suite of R packages, including \u003cb\u003eggplot2\u003c\/b\u003e for data visualization and \u003cb\u003edplyr\u003c\/b\u003e for data wrangling. The second part introduces data modeling via simple and multiple linear regression. The third part presents statistical inference using simulation-based methods within a general framework implemented in R via the \u003cb\u003einfer \u003c\/b\u003epackage, a suitable complement to the tidyverse\u003cb\u003e.\u003c\/b\u003e By working with these methods, readers can implement effective exploratory data analyses, \u003cb\u003econduct\u003c\/b\u003e statistical modeling with data, and carry out statistical inference via confidence intervals and hypothesis testing. All these tasks are performed strongly emphasizing data visualization.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey Features in the Second Edition:\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eMinimal Prerequisites\u003c\/b\u003e: no prior calculus or coding experience is needed, making the content accessible to a wide audience.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-World Data\u003c\/b\u003e: learn with real-world datasets, including all domestic flights leaving New York City in 2023, the Gapminder project, FiveThirtyEight.com data, and new datasets on health, global development, music, coffee quality, and geyser eruptions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSimulation-Based Inference\u003c\/b\u003e: statistical inference through simulation-based methods.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eExpanded Theoretical Discussions\u003c\/b\u003e: includes deeper coverage of theory-based approaches, their connection with simulation-based approaches, and a presentation of intuitive and formal aspects of these methods.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEnhanced Use of the infer Package\u003c\/b\u003e: leverages the infer package for “tidy” and transparent statistical inference, enabling readers to construct confidence intervals and conduct hypothesis tests through multiple linear regression and beyond.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDynamic Online Resources\u003c\/b\u003e: all code and output are embedded in the text, with additional interactive exercises, discussions, and solutions available online at the \u003ca href=\"https:\/\/moderndive.com\/v2\/\" target=\"_blank\"\u003ebook website\u003c\/a\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBroadened Applications\u003c\/b\u003e: Suitable for undergraduate and graduate courses, including statistics, data science, and courses emphasizing reproducible research.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe first edition of the book has been used in so many different ways; for courses in statistical inference, statistical programming, business analytics, and data science for social policy, and by professionals in many more. Ideal for those new to statistics or looking to deepen their knowledge, this edition provides a clear entry point into data science and modern statistical methods.\u003c\/p\u003e","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57194619339134,"sku":"NW9781032708379","price":61.9,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9781032708379.jpg?v=1778547010","url":"https:\/\/mediaplace.com\/products\/statistical-inference-via-data-science","provider":"MediaPlace","version":"1.0","type":"link"}