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{ "item_title" : "Big Data Analytics with Python", "item_author" : [" Danny Munrow", "Lucas Arden "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/831/681/9798316812592_b.jpg", "price_data" : { "retail_price" : "34.29", "online_price" : "34.29", "our_price" : "34.29", "club_price" : "34.29", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Big Data Analytics with Python|Danny Munrow

Big Data Analytics with Python : Practical Applications for Business

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798316812592
  • ISBN-10: 9798316812592
  • Publisher: Independently Published
  • Publish Date: April 2025
  • Dimensions: 9 x 6 x 1.27 inches
  • Shipping Weight: 1.83 pounds
  • Page Count: 630

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