{"product_id":"practical-statistics-for-data-scientists-50-essential-concepts-using-r-and-python-download-ebook-pdf","title":"Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python","description":"\u003cdiv class=\"_2PSyL\" id=\"TPAMultiSection_ktums1ak\"\u003e\n\u003cdiv data-reactroot=\"\" class=\"TPAMultiSection_ktums1ak\"\u003e\n\u003cdiv data-layout-name=\"classic\" class=\"_1TImB layout__classic isDesktop\" data-hook=\"product-page\"\u003e\n\u003carticle class=\"_30ZY-\"\u003e\n\u003cdiv class=\"_12vNY\"\u003e\n\u003csection class=\"_2h_HC\"\u003e\n\u003cdiv class=\"_3EQWi fggS- cell\"\u003e\n\u003cdiv dir=\"ltr\"\u003e\n\u003cul data-hook=\"collapse-info-section\" class=\"_1V4Ij\"\u003e\n\u003cli data-hook=\"collapse-info-item\" class=\"_2knBS undefined\"\u003e\n\u003ch1 data-hook=\"info-section-title\" aria-hidden=\"false\" class=\"Text1270423484__root Text1270423484---typography-11-runningText Text1270423484---priority-7-primary s8gg2 _2UIKs InfoSectionTitle3095652555__root\"\u003eeBook Details :\u003c\/h1\u003e\n\u003cdiv class=\"rah-static rah-static--height-auto\" aria-hidden=\"false\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"_1yvxJ fggS- cell\"\u003e\n\u003cdiv class=\"WncCi\" data-hook=\"info-section-description\"\u003e\n\u003cul\u003e\n\u003cli\u003eCategories: Computers - Databases\u003c\/li\u003e\n\u003cli\u003eYear: 2020\u003c\/li\u003e\n\u003cli\u003eEdition: 2\u003c\/li\u003e\n\u003cli\u003ePublisher: O'Reilly Media\u003c\/li\u003e\n\u003cli\u003eLanguage: English\u003c\/li\u003e\n\u003cli\u003ePages: 368 \/ 363\u003c\/li\u003e\n\u003cli\u003eISBN 10: 149207294X\u003c\/li\u003e\n\u003cli\u003eISBN 13: 9781492072942\u003c\/li\u003e\n\u003cli\u003eFile: PDF, 15.98 MB\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003csection class=\"_2h_HC\"\u003e\n\u003cdiv class=\"_1FTz3 fggS- cell\"\u003e\n\u003csection class=\"_2RbVQ\" data-hook=\"description-wrapper\"\u003e\n\u003cdiv class=\"_3nbVj\"\u003e\n\u003cdiv data-hook=\"content-wrapper\" class=\"_3cRjW\"\u003e\n\u003cp\u003eStatistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.\u003c\/p\u003e\n\u003cp\u003eMany data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.\u003c\/p\u003e\n\u003cp\u003eWith this book, you’ll learn:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhy exploratory data analysis is a key preliminary step in data science\u003c\/li\u003e\n\u003cli\u003eHow random sampling can reduce bias and yield a higher-quality dataset, even with big data\u003c\/li\u003e\n\u003cli\u003eHow the principles of experimental design yield definitive answers to questions\u003c\/li\u003e\n\u003cli\u003eHow to use regression to estimate outcomes and detect anomalies\u003c\/li\u003e\n\u003cli\u003eKey classification techniques for predicting which categories a record belongs to\u003c\/li\u003e\n\u003cli\u003eStatistical machine learning methods that \"learn\" from data\u003c\/li\u003e\n\u003cli\u003eUnsupervised learning methods for extracting meaning from unlabeled data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fggS- cell\"\u003e\n\u003cdiv data-hook=\"bottom-placeholder\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/article\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"comp-l2q3bsbp\"\u003e\n\u003cdiv data-reactroot=\"\" class=\"comp-l2q3bsbp\"\u003e\n\u003cdiv class=\"lo0oex qe3j8X\" data-slider-index=\"0\" data-hook=\"slider-gallery\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Novabookshub","offers":[{"title":"Default Title","offer_id":53070662271343,"sku":null,"price":12.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/8466\/9295\/files\/3_39d3a7d8-38d5-439e-9f69-0f7fb2ab305f.jpg?v=1780243353","url":"https:\/\/novabookshub.shop\/products\/practical-statistics-for-data-scientists-50-essential-concepts-using-r-and-python-download-ebook-pdf","provider":"Novabooks","version":"1.0","type":"link"}