SKU/Artículo: AMZ-B0FY1D5VXM
Python and SQL for Data Science and AI: A Project-Based Guide to Building Real-World Applications
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.57 kg
0.57 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- In today’s data-driven world, technical fluency alone isn’t enough—you need to know how to connect the dots between databases, analytics, and AI. Python and SQL for Data Science and AI: A Project-Based Guide to Building Real-World Applications is your complete, hands-on roadmap for mastering that connection from the ground up.This book turns abstract concepts into working systems. You’ll start by setting up a professional data environment with Docker and PostgreSQL, then learn how to bridge SQL and Python for powerful data manipulation and analysis. From there, you’ll progress through three immersive, end-to-end projects that mirror real industry workflows:Project 1: E-Commerce Analytics Dashboard – Build a complete SQL and Python analytics pipeline to uncover business insights from sales data.Project 2: Predictive Churn Model – Engineer features directly in SQL, train predictive models in Python, and evaluate them using scikit-learn.Project 3: AI-Powered RAG Bot – Deploy an intelligent Retrieval-Augmented Generation system with PostgreSQL pgvector, LangChain, and OpenAI embeddings.Each chapter blends clarity, precision, and depth—no filler, no skipped steps. You’ll not only learn how to code but also why modern data systems are built the way they are. Along the way, you’ll discover how to containerize workflows, manage databases securely, version control your models, and optimize for real-world performance.
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AR$112.630
60% OFF
AR$45.052
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