Software Engineering for Data Scientists: From Notebooks to Scalable Systems Master software engineering principles: Learn best practices for designing, building, and deploying scalable data systems. Bridge the gap between notebooks and production: Understand the challenges and techniques for transitioning code from exploratory notebooks to production-ready systems. Build robust and maintainable code: Apply software engineering principles to ensure your code is reliable, efficient, and easy to maintain. Collaborate effectively: Learn how to work with engineers and stakeholders to deliver high-quality data products. * Scale your systems: Explore techniques for scaling your data systems to handle increasing data volumes and user demand.