Software Engineering in Data Science
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Discover how to bridge the gap between data science theory and production-ready applications with essential software engineering practices. From containerization and continuous deployment to scalable machine learning architectures, learn the tools and techniques needed to build robust data science solutions. Master modern approaches to deep learning implementation, natural language processing applications, and efficient model deployment. Whether you're handling price predictions, search functionality, or complex ML pipelines, gain practical skills to create maintainable, production-grade data science systems that deliver real business value.
