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Inhaltsangabe
Reactive Publishing
In Big Data Analytics with Python: Practical Applications for Business, Dr. Lucas Arden delivers a real-world guide for professionals seeking to harness Python's capabilities for data-driven decision-making. Whether you're a business analyst, data scientist, or entrepreneur, this book equips you with practical tools to extract value from complex datasets using Python’s most powerful libraries — including Pandas, NumPy, Scikit-learn, and PySpark.
Through step-by-step walkthroughs, hands-on coding examples, and real business use cases, you’ll learn how to:
Clean, transform, and visualize large datasets
Apply machine learning to uncover trends and patterns
Build predictive models to optimize decision-making
Integrate analytics into your business pipeline
Solve real business problems with automation and scale
Designed for practical application, this guide doesn’t just teach you how to code — it teaches you how to think in data. Whether you're scaling a startup or navigating a Fortune 500 enterprise, the skills inside will give you a competitive edge in today’s data-driven economy.
Turn raw data into revenue — with Python.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagIndependently published
- Erscheinungsdatum2025
- ISBN 13 9798316812592
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten628
- HerausgeberMunrow Danny
- Kontakt zum HerstellerNicht verfügbar
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Paperback. Zustand: new. Paperback. Reactive PublishingIn Big Data Analytics with Python: Practical Applications for Business, Dr. Lucas Arden delivers a real-world guide for professionals seeking to harness Python's capabilities for data-driven decision-making. Whether you're a business analyst, data scientist, or entrepreneur, this book equips you with practical tools to extract value from complex datasets using Python's most powerful libraries - including Pandas, NumPy, Scikit-learn, and PySpark.Through step-by-step walkthroughs, hands-on coding examples, and real business use cases, you'll learn how to: Clean, transform, and visualize large datasetsApply machine learning to uncover trends and patternsBuild predictive models to optimize decision-makingIntegrate analytics into your business pipelineSolve real business problems with automation and scaleDesigned for practical application, this guide doesn't just teach you how to code - it teaches you how to think in data. Whether you're scaling a startup or navigating a Fortune 500 enterprise, the skills inside will give you a competitive edge in today's data-driven economy.Turn raw data into revenue - with Python. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798316812592
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