This course is aimed at children's nurses, 'from triage to discharge, and home'
- Teacher: Laura Deery
- Teacher: Tammy Jaques
- Teacher: Mathew Mathai
is_training_material: No
Course Overview
This course is aimed at children's nurses, 'from triage to discharge, and home'
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[[[ CALM: COURSE_NAME ]]] 2 [[[ CALM: COURSE_NAME ]]] We are a multidisciplinary team of improvement scientists, patient safety experts, and clinicians, united by a shared commitment to making healthcare safer, more effective, and more compassionate. We work alongside frontline services, patients, and the public, not as external advisors but as active partners in change. By combining evidence-based improvement methods with real-world clinical experience, we help organisations understand what really matters, test what works, and embed learning into everyday practice. Our focus is always on delivering practical, sustainable improvements that lead to better outcomes for patients and the people who care for them. We are a multidisciplinary team of improvement scientists, patient safety experts, and clinicians, united by a shared commitment to making healthcare safer, more effective, and more compassionate. We work alongside frontline services, patients, and the public, not as external advisors but as active partners in change. By combining evidence-based improvement methods with real-world clinical experience, we help organisations understand what really matters, test what works, and embed learning into everyday practice. Our focus is always on delivering practical, sustainable improvements that lead to better outcomes for patients and the people who care for them. About the Course 40 hours of content Advanced Level Updated 2 weeks ago Certificate of completion [[[ CALM | COURSE_INFO ]]] [[[ title | What you'll learn ]]] [[[ circle-check | Implement advanced machine learning algorithms | na ]]] [[[ circle-check | Perform complex data cleaning and preparation | na ]]] [[[ circle-check | Create interactive data visualisations | na ]]] [[[ circle-check | Build and deploy predictive models | na ]]] [[[ circle-check | Optimise models for production environments | na ]]] [[[ circle-check | Apply deep learning techniques to real-world problems | na ]]] [[[ CALM | ENDCOURSE_INFO ]]] [[[ CALM | ACCORDIAN ]]] [[[ title | What you'll learn ]]] [[[ ITEM ]]] [[[ header | Module 1: Advanced Python for Data Science.4 Lessons | 3.5hrs ]]] [[[ video | Python Libraries for Data Science | 45m ]]] [[[ video | Advanced Data Structures | 50m ]]] [[[ ITEM ]]] [[[ header | Module 2: Advanced Python for Data Science.4 Lessons | 3.5hrs ]]] [[[ video | 2 Python Libraries for Data Science | 45m ]]] [[[ CALM | ENDACCORDIAN ]]]
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