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Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
- EditorialIndependently published
- Año de publicación2025
- ISBN 13 9798316812592
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas628
- EditorMunrow Danny
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Big Data Analytics with Python: Practical Applications for Business
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Big Data Analytics with Python: Practical Applications for Business
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Big Data Analytics with Python (Paperback)
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Paperback. Condición: 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. Nº de ref. del artículo: 9798316812592
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