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020 _a9783031599071
_9978-3-031-59907-1
024 7 _a10.1007/978-3-031-59907-1
_2doi
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072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
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082 0 4 _a005.7
_223
100 1 _aJung, Dominik.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9105127
245 1 4 _aThe Modern Business Data Analyst
_h[electronic resource] :
_bA Case Study Introduction into Business Data Analytics with CRISP-DM and R /
_cby Dominik Jung.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVIII, 296 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface -- 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 _aThis 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 _aArtificial intelligence
_xData processing.
_921787
650 0 _aData mining.
_93907
650 0 _aBusiness
_xData processing.
_99331
650 0 _aBusiness information services.
_928705
650 1 4 _aData Science.
_934092
650 2 4 _aData Mining and Knowledge Discovery.
_9105131
650 2 4 _aBusiness Informatics.
_9102327
650 2 4 _aIT in Business.
_933373
710 2 _aSpringerLink (Online service)
_9105133
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031599064
776 0 8 _iPrinted edition:
_z9783031599088
856 4 0 _uhttps://doi.org/10.1007/978-3-031-59907-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cEBK
999 _c88498
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