{"product_id":"beginners-guide-to-principal-components-applications-with-microsoft-excel-9781792354625","title":"Beginner's Guide to Principal Components: Applications with Microsoft Excel","description":"\u003cp\u003e • Author(s): Kilem Li Gwet\u003cbr\u003e • Publisher: Agreestat Analytics\u003cbr\u003e • Publisher Imprint: Agreestat Analytics\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - Multivariate Analysis\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAre you facing the challenge of analyzing complex datasets filled with correlated variables? Beginner's Guide to Principal Components introduces you to Principal Component Analysis (PCA), a powerful statistical method that simplifies data analysis by reducing dimensionality and revealing underlying patterns. By transforming your data into uncorrelated principal components, PCA allows you to replace dozens of variables with just a few key carefully constructed composite indicators, making your analysis clearer and more effective.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book is designed for those new to PCA, offering a practical, step-by-step introduction without diving too deep into advanced mathematics. Some familiarity with linear algebra will help you grasp the concepts fully, but this guide emphasizes practical application over theoretical complexity. With clear explanations and hands-on examples, you'll learn how to compute principal components using Microsoft Excel, supported by a free downloadable Excel template for easy implementation.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWhether you're a researcher, student, or data analyst, this book bridges the gap between theory and application, providing you with the tools to apply PCA to real-world problems confidently. By the end, you'll understand how PCA works, how to compute it, and how to leverage it to make more informed, data-driven decisions.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eTake control of your data and transform your analysis with PCA using this accessible, beginner-friendly guide!\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003col\u003eThis book introduces the Excel template \u003cstrong\u003epca.xlsm\u003c\/strong\u003e, which can be downloaded for free from the link \u003cstrong\u003ehttps: \/\/agreestat.com\/books\/pca\/pca.xlsm\u003c\/strong\u003e. I expect Excel users to find it useful for implementing the different techniques discussed in this book.\u003c\/ol\u003e","brand":"Agreestat Analytics","offers":[{"title":"Paperback","offer_id":45299566280855,"sku":"9781792354625","price":2467.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781792354625.webp?v=1769285756","url":"https:\/\/atlanticbooks.com\/products\/beginners-guide-to-principal-components-applications-with-microsoft-excel-9781792354625","provider":"Atlantic Books","version":"1.0","type":"link"}