{"product_id":"practical-statistics-for-data-scientists-50-essential-concepts-using-r-and-python-1","title":"Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python","description":"\u003cp\u003e\u003cspan\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\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\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\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWith this book, you’ll learn:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWhy exploratory data analysis is a key preliminary step in data science\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow random sampling can reduce bias and yield a higher-quality dataset, even with big data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow the principles of experimental design yield definitive answers to questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to use regression to estimate outcomes and detect anomalies\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eKey classification techniques for predicting which categories a record belongs to\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eStatistical machine learning methods that \"learn\" from data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnsupervised learning methods for extracting meaning from unlabeled data\u003cbr\u003e\u003c\/span\u003e\u003c\/span\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eO'Reilly Media\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eJune 16, 2020\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eEdition ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e2nd\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e360 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e149207294X\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-1492072942\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e1.35 pounds\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e7 x 0.9 x 9.1 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":50558594023682,"sku":null,"price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0830\/9856\/6914\/files\/PracticalStatisticsforDataScientistsr.jpg?v=1790663825","url":"https:\/\/thebookstella.com\/products\/practical-statistics-for-data-scientists-50-essential-concepts-using-r-and-python-1","provider":"thebookstella.com","version":"1.0","type":"link"}