Standort: ---
Exemplare:
---
| Online-Ressource |
Verfasst von: | Okunev, Rhoda [VerfasserIn] ![i](/https/katalog.ub.uni-heidelberg.de/opacicon/information2.png) |
Titel: | Analytics for retail |
Titelzusatz: | a step-by-step guide to the statistics behind a successful retail business |
Verf.angabe: | Rhoda Okunev |
Ausgabe: | [First edition]. |
Verlagsort: | New York, NY |
Verlag: | Apress |
E-Jahr: | 2022 |
Jahr: | [2022] |
Umfang: | 1 online resource (157 pages) |
Illustrationen: | illustrations |
Fussnoten: | Includes index |
ISBN: | 978-1-4842-7830-7 |
| 1-4842-7830-5 |
Abstract: | Examine 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. Everyone 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. Analytics for Retail is your path to creating visual representations that powerfully communicate information and drive decisions. |
URL: | Aggregator: https://learning.oreilly.com/library/view/-/9781484278307/?ar |
Datenträger: | Online-Ressource |
Sprache: | eng |
Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe |
Sach-SW: | Electronic books |
K10plus-PPN: | 1814342966 |
|
|
| |
Lokale URL UB: | Zum Volltext |
|
|
| Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
| Bestellen/Vormerken für Benutzer des Klinikums Mannheim Eigene Kennung erforderlich |
Bibliothek/Idn: | UW / m4179347474 |
Lokale URL Inst.: | Zum Volltext |
978-1-4842-7830-7,1-4842-7830-5
Analytics for retail / Okunev, Rhoda [VerfasserIn]; [2022] (Online-Ressource)
68953800