Artículo: AMZ-B0FJ6BPNHW

The Business Analytics Value Chain With Python: Master End-to-End Analytics, Statistical Modeling & Optimization with Full Python Code

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0.99 kg
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  • Unlock Quantitative Insight—From Raw Data to Prescriptive ActionWhether you’re a data-savvy executive, an aspiring analyst, or an instructor building the next generation of decision scientists, this comprehensive textbook walks you through every mathematical link in the modern analytics value chain. Leverage rigorously explained theory and production-ready Python to convert data into decisions that move the bottom line.Why Readers Choose This BookComplete Pipeline Coverage – Sets & tensors, probability, machine learning, forecasting, optimization, and simulation in one cohesive learning path.Math-First, Code-Ready – Every concept is derived step by step, then translated into clean, annotated Python you can run immediately.Real Business Focus – Examples mirror revenue forecasting, churn survival, dynamic pricing, supply-chain planning, and more.Performance Matters – Learn NumPy vectorization, Numba JIT, and parallel Dask workflows to scale analytics without rewriting code.Built for Teaching & Self-Study – Clear objectives, numeric proofs, and end-of-chapter exercises make the material classroom-friendly and certification-ready.Inside You’ll Master• Linear algebra foundations for data representation • Probability, inference, and resampling for robust estimation • Supervised & unsupervised learning algorithms tuned for business KPIs • Time-series modeling from ARIMA to Kalman filtering • Convex, integer, and stochastic optimization for prescriptive analytics • Monte Carlo simulation, Markov chains, and reinforcement learning • Algorithmic complexity, profiling, and GPU/parallel accelerationResults You Can ExpectBuild reproducible analytics pipelines that integrate seamlessly with existing data stacks.Quantify uncertainty and risk to support executive decision-making.Deploy optimized strategies that increase revenue, reduce cost, and enhance customer experience.Who Should Read• Business analysts leveling up to data science • MBA and STEM students seeking a mathematics-grounded approach • Data scientists expanding into optimization and advanced statistics • Professors and trainers needing an all-in-one, code-rich curriculum“A rare blend of mathematical depth and practical Python—exactly what businesses need to turn data into profit.”
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