The Modern Business Data Analyst (Record no. 88498)

000 -LEADER
fixed length control field 03615nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-59907-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730172715.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240704s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031599071
-- 978-3-031-59907-1
082 04 - CLASSIFICATION NUMBER
Call Number 005.7
100 1# - AUTHOR NAME
Author Jung, Dominik.
245 14 - TITLE STATEMENT
Title The Modern Business Data Analyst
Sub Title A Case Study Introduction into Business Data Analytics with CRISP-DM and R /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 296 p.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- 1 Introduction -- 2 Business Data Analytics Toolbox: R and RStudio -- 3 Business Data Understanding -- 4 Business Data Preparation -- 5 Modeling -- 6 Business Data Products -- 7 Mastering Business Data Analytics -- Appendix.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-59907-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business information services.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business Informatics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- IT in Business.
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-- ZDB-2-SCS
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-- ZDB-2-SXCS

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