000 02632nam a22001937a 4500
005 20250114113658.0
008 250114b |||||||| |||| 00| 0 eng d
020 _a9783031599064
082 _a658.4
_bJUN
100 _aJung, Dominik
_920615
245 _aThe modern business data analyst:
_ba case study introduction into business data analytics with CRISP-DM and R
260 _bSpringer
_aCham
_c2024
300 _axviii, 296 p.
365 _aEUR
_b54.99
500 _aTable 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]
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. (https://link.springer.com/book/10.1007/978-3-031-59907-1)
650 _aBusiness--Data processing
942 _cBK
_2ddc
999 _c8505
_d8505