{"product_id":"analytics-for-retail-a-step-by-step-guide-to-the-statistics-behind-a-successful-retail-business-paperback","title":"Analytics for Retail: A Step-By-Step Guide to the Statistics Behind a Successful Retail Business - 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\u003eRhoda Okunev\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eExamine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data. This book focuses on useful and imperative applied analytics needed to build a retail business and explains mathematical concepts essential for decision making and communication in retail business environments. \u003cbr\u003eEveryone is a buyer or seller of products these days whether through a physical department store, Amazon, or their own business website. This book is a step-by-step guide to understanding and managing the mechanics of markups, markdowns, and basic statistics, math and computers that will help in your retail business. You'll tackle what to do with data once it is has accumulated and see how to arrange the data using descriptive statistics, primarily means, median, and mode, and then how to read the corresponding charts and graphs. \u003cbr\u003e\u003ci\u003eAnalytics for Retail \u003c\/i\u003eis your path to creating visual representations that powerfully communicate information and drive decisions. \u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eReview standard statistical concepts to enhance your understanding of retail data\u003c\/li\u003e\n\u003cli\u003eUnderstand the concepts of markups, markdowns and profit margins, and probability \u003c\/li\u003e\n\u003cli\u003eConduct an A\/B testing email campaign with all the relevant analytics calculated and explained\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003eThis is a primer book for anyone in the field of retail that needs to learn or refresh their skills or for a reader who wants to move in their company to a more analytical position. \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eExamine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data. This book focuses on useful and imperative applied analytics needed to build a retail business and explains mathematical concepts essential for decision making and communication in retail business environments. \u003cbr\u003eEveryone is a buyer or seller of products these days whether through a physical department store, Amazon, or their own business website. This book is a step-by-step guide to understanding and managing the mechanics of markups, markdowns, and basic statistics, math and computers that will help in your retail business. You'll tackle what to do with data once it is has accumulated and see how to arrange the data using descriptive statistics, primarily means, median, and mode, and then how to read the corresponding charts and graphs. \u003cbr\u003e\u003ci\u003eAnalytics for Retail \u003c\/i\u003eis your path to creating visual representations that powerfully communicate information and drive decisions. You will: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eReview standard statistical concepts to enhance your understanding of retail data\u003c\/li\u003e\n\u003cli\u003eUnderstand the concepts of markups, markdowns and profit margins, and probability \u003c\/li\u003e\n\u003cli\u003eConduct an A\/B testing email campaign with all the relevant analytics calculated and explained\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eRhoda Okunev is an Associate in Professional Studies at Columbia University's School of Applied Analytics department. Rhoda teaches math and statistics at Nova Southeastern University. Rhoda taught at the Fashion Institute of Technology Continuing Education department in the Retail Analytics department where she created her own Applied Analytics course. She also taught math and statistics at the Fashion Institute of Technology in New York. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eRhoda has a Master's in Mathematics from the Courant Institute at New York University, a Master's in Biostatistics from Columbia University, and a Master's in Psychology from Yeshiva University. She also has an Advanced Certification in Finance from Fordham University. Rhoda has worked in portfolio management and market risk for over 10 years at a rating agency, clearing house and bank. Rhoda has also extensive experience in research and statistical programming at Harvard University, Massachusetts General Hospital, Columbia Presbyterian Hospital, Cornell Medical Center, Massachusetts Department of Public Health, and Emblem Health (HIP). \u003c\/p\u003e\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 150\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.35 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 26, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52479316001075,"sku":"9781484278291","price":50.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/V0k5MVN6OVdaaHBtS2FCYXQ0bnNxZz09.webp?v=1759683489","url":"https:\/\/www.vysn.com\/products\/analytics-for-retail-a-step-by-step-guide-to-the-statistics-behind-a-successful-retail-business-paperback","provider":"VYSN","version":"1.0","type":"link"}