Building Real-World Data Science Solutions

Transform theoretical knowledge into practical expertise in this comprehensive project-based course designed for aspiring data professionals. Through an end-to-end project using synthetic customer support data (designed to mirror real-world scenarios) , you'll integrate advanced analytics, cloud computing, and AI-assisted development to solve authentic business challenges. Leveraging AWS services throughout the project, you'll work with S3 for data storage and management, utilize SageMaker for model development and deployment, and create automated data pipelines—gaining hands-on experience with industry-standard cloud tools. Upon completion, you'll be able to: • Design and implement end-to-end data science solutions • Build automated data pipelines with AWS integration • Create production-ready machine learning models • Develop interactive dashboards and reports • Generate comprehensive project documentation

• Design end-to-end data science solutions
• Implement automated data pipelines with AWS integration
• Build production-ready machine learning models
• Develop interactive dashboards and reports
• Generate comprehensive project documentation

• Basic computer and internet skills
• Ability to read course instructions in English and complete short practice activities