The modern business data analyst: a case study introduction into business data analytics with CRISP-DM and R

By:

Jung, Dominik

Material type: Text

TextPublication details: Springer Cham 2024Description: xviii, 296 pISBN:

9783031599064

Subject(s):

Business--Data processing

DDC classification:

658.4 JUN

Summary: This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics. The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number of different techniques and best-practices which you can immediately exploit in your daily work. The book does not assume that you have an academic degree or any experience with business data analytics or data science. All you need is an open mind, willingness to puzzle and think mathematically, and the willingness to write some R code. This book is your all-in-one resource to become proficient in business data analytics with R, equipped with practical skills for the real world. (https://link.springer.com/book/10.1007/978-3-031-59907-1)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.4 JUN (Browse shelf(Opens below))	1	Available		007254

Table of content:
Introduction
Dominik Jung
Pages 1-24
Business Data Analytics Toolbox: R and RStudio
Dominik Jung
Pages 25-48
Business Data Understanding
Dominik Jung
Pages 49-110
Business Data Preparation
Dominik Jung
Pages 111-157
Modeling
Dominik Jung
Pages 158-215
Business Data Products
Dominik Jung
Pages 216-256
Mastering Business Data Analytics
Dominik Jung
Pages 257-280
Appendix
Dominik Jung
Pages 281-293
Back Matter
Pages 294-296

[https://link.springer.com/book/10.1007/978-3-031-59907-1]

This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics.

The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number of different techniques and best-practices which you can immediately exploit in your daily work.

The book does not assume that you have an academic degree or any experience with business data analytics or data science. All you need is an open mind, willingness to puzzle and think mathematically, and the willingness to write some R code. This book is your all-in-one resource to become proficient in business data analytics with R, equipped with practical skills for the real world.

(https://link.springer.com/book/10.1007/978-3-031-59907-1)

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