| 000 | 03615nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-59907-1 | ||
| 003 | DE-He213 | ||
| 005 | 20240730172715.0 | ||
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| 008 | 240704s2024 sz | s |||| 0|eng d | ||
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_a9783031599071 _9978-3-031-59907-1 |
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_a10.1007/978-3-031-59907-1 _2doi |
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| 100 | 1 |
_aJung, Dominik. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _9105127 |
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| 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. |
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| 300 |
_aXVIII, 296 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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 |
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| 650 | 0 |
_aData mining. _93907 |
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| 650 | 0 |
_aBusiness _xData processing. _99331 |
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| 650 | 0 |
_aBusiness information services. _928705 |
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| 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 |
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| 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 |
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| 912 | _aZDB-2-SXCS | ||
| 942 | _cEBK | ||
| 999 |
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