{"product_id":"think-stats-exploratory-data-analysis-paperback","title":"Think STATS: Exploratory Data Analysis - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAllen B. Downey\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIf you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis--from wrangling data and generating statistics to identifying patterns and testing hypotheses.\u003c\/p\u003e \u003cp\u003eWhether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas. You'll explore distributions, relationships between variables, visualization, and many other concepts. And all chapters are available as Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eAnalyze data distributions and visualize patterns using Python libraries\u003c\/li\u003e \u003cli\u003eImprove predictions and insights with regression models\u003c\/li\u003e \u003cli\u003eDive into specialized topics like time series analysis and survival analysis\u003c\/li\u003e \u003cli\u003eIntegrate statistical techniques and tools for validation, inference, and more\u003c\/li\u003e \u003cli\u003eCommunicate findings with effective data visualization\u003c\/li\u003e \u003cli\u003eTroubleshoot common data analysis challenges\u003c\/li\u003e \u003cli\u003eBoost reproducibility and collaboration in data analysis projects with interactive notebooks\u003c\/li\u003e \u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 321\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.68 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 13, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":51992794464557,"sku":"9781098190255","price":74.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0938\/3185\/6429\/files\/7Dw8rOSAU9781098190255.webp?v=1776329413","url":"https:\/\/ishookbooks.com\/products\/think-stats-exploratory-data-analysis-paperback","provider":"iShook Books","version":"1.0","type":"link"}