{"product_id":"data-insight-foundations-step-by-step-data-analysis-with-r-paperback","title":"Data Insight Foundations: Step-By-Step Data Analysis with R - 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\u003eNikita Tkachenko\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book is not a comprehensive guide; if that's what you're seeking, you may want to look elsewhere. Instead, it serves as a map, outlining the necessary tools and topics for your research journey. The goal is to build your intuition and provide pointers for where to find more detailed information. The chapters are deliberately concise and to the point, aiming to expose and enlighten rather than bore you. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e While examples are primarily in R, a basic understanding of the language is advantageous but not essential. Several chapters, especially those focusing on theory, require no programming knowledge at all. Parts of this book have proven useful to a diverse audience, including web developers, mathematicians, data analysts, and economists, making the material beneficial regardless of one's background \u003cp\u003e\u003cbr\u003e The structure allows for flexible reading paths; you may explore the chapters in sequence for a systematic learning experience or navigate directly to the topics most relevant to you. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e What You Will Learn \u003cul\u003e \u003cli\u003eData Management: Master the end-to-end process of data collection, processing, validation, and imputation using R.\u003c\/li\u003e \u003cli\u003eReproducible Research: Understand fundamental theories and achieve transparency with literate programming, renv, and Git.\u003c\/li\u003e \u003cli\u003eAcademic Writing: Conduct scientific literature reviews and write structured papers and reports with Quarto.\u003c\/li\u003e \u003cli\u003eSurvey Design: Design well-structured surveys and manage data collection effectively.\u003c\/li\u003e \u003cli\u003eData Visualization: Understand data visualization theory and create well-designed and captivating graphics using ggplot2\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWho this Book is For\u003c\/p\u003e \u003cp\u003eCareer professionals such as research and data analysts transitioning from academia to a professional setting where production quality significantly impacts career progression. Some familiarity with data analytics processes and an interest in learning R or Python are ideal. \u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book is not a comprehensive guide; if that's what you're seeking, you may want to look elsewhere. Instead, it serves as a map, outlining the necessary tools and topics for your research journey. The goal is to build your intuition and provide pointers for where to find more detailed information. The chapters are deliberately concise and to the point, aiming to expose and enlighten rather than bore you. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e While examples are primarily in R, a basic understanding of the language is advantageous but not essential. Several chapters, especially those focusing on theory, require no programming knowledge at all. Parts of this book have proven useful to a diverse audience, including web developers, mathematicians, data analysts, and economists, making the material beneficial regardless of one's background \u003cp\u003e\u003cbr\u003e The structure allows for flexible reading paths; you may explore the chapters in sequence for a systematic learning experience or navigate directly to the topics most relevant to you. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e What You Will Learn \u003cul\u003e \u003cli\u003eData Management: Master the end-to-end process of data collection, processing, validation, and imputation using R\u003c\/li\u003e \u003cli\u003eReproducible Research: Understand fundamental theories and achieve transparency with literate programming, renv, and Git\u003c\/li\u003e \u003cli\u003eAcademic Writing: Conduct scientific literature reviews and write structured papers and reports with Quarto\u003c\/li\u003e \u003cli\u003eSurvey Design: Design well-structured surveys and manage data collection effectively\u003c\/li\u003e \u003cli\u003eData Visualization: Understand data visualization theory and create well-designed and captivating graphics using ggplot2\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNikita Tkachenko\u003c\/strong\u003e serves as the Chief Technology Officer (CTO) at Bridges and Barriers Advisory Services. In this role, he specializes in developing data tools tailored for executives at organizations embarking on their transformative data journeys. Beyond his work at Bridges and Barriers, Nikita is deeply engaged in academia. He imparts his knowledge by instructing Research Tools, providing mentorship to students, and conducting research at the University of San Francisco.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 227\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 01, 2025\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43159510253631,"sku":"9798868805790","price":55.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/33eQFPGpMj9798868805790.webp?v=1776999212","url":"https:\/\/dhlswag.com\/products\/data-insight-foundations-step-by-step-data-analysis-with-r-paperback","provider":"BBB","version":"1.0","type":"link"}