The Modern Business Data Analyst
Springer International Publishing (Verlag)
978-3-031-59906-4 (ISBN)
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.
Dominik Jung is an experienced data scientist working for the German sports car manufacturer Porsche AG. In addition, he is also a lecturer for business data analytics and applied AI at TU Darmstadt and has been awarded with multiple best teaching awards.
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.
| Erscheinungsdatum | 05.07.2024 |
|---|---|
| Zusatzinfo | XVIII, 296 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Business Analytics • business data analytics • CRISP-DM • Data Science • R |
| ISBN-10 | 3-031-59906-3 / 3031599063 |
| ISBN-13 | 978-3-031-59906-4 / 9783031599064 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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