Imperial College London

Tobacco Control: Agile Policy, Research and Practice

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3D Graphics in Android: Sensors and VR

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A Guide to Healthcare Innovation: Principles and Practice

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Advanced App Development in Android Capstone

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Advanced Creative Thinking and AI: Tools for Success

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Android Graphics with OpenGL ES

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Applying Participatory Approaches in Public Health Settings

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Building on the SIR Model

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Climate change and health

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Creative Thinking: Techniques and Tools for Success

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Customising your models with TensorFlow 2

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Design and Implementation of Digital Health Interventions

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Developing the SIR Model

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Evaluation of Digital Health Interventions

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Foundations of Public Health Practice: Behaviour & Behaviour Change

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Foundations of Public Health Practice: Health Protection

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Foundations of Public Health Practice: The Public Health Approach

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Foundations of Public Health Practice: The Public Health Toolkit

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Getting started with TensorFlow 2

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Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention

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Global Disease Masterclass: Global Disease Distribution

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Global Disease Masterclass: Non-communicable Diseases

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Globalisation and health governance

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Health Coaching Conversations

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Health Systems Development: A Focus on Health Service Delivery and Human Resources for Health

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Health Systems Development: Health systems, Policy and Research

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Health Systems Development: Introduction to Health Systems

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Healthcare Entrepreneurship: Taking Ideas to Market

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Healthcare Innovation: What Does Success Look Like and How to Achieve It?

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How Vaccines Work

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Immunology: Adaptive Immune System

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Immunology: Autoimmunity, Allergy, and Transplants

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Immunology: Immune Failures and Cancer Immunology

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Immunology: Immune System and Infectious Diseases

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Immunology: Innate Immune System

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Interventions and Calibration

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Introduction to Android graphics

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Introduction to Creative Thinking: Tools for Success

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Introduction to Digital health

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Introduction to Participatory Approaches in Public Health

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Introduction to Python for Researchers

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Introduction to Quality Improvement in Healthcare

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Introduction to Statistics & Data Analysis in Public Health

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Linear Regression in R for Public Health

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Logistic Regression in R for Public Health

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Mathematics for Machine Learning: Linear Algebra

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Mathematics for Machine Learning: Multivariate Calculus

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Mathematics for Machine Learning: PCA

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Measuring Disease in Epidemiology

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Migration and health

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Probabilistic Deep Learning with TensorFlow 2

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Public Involvement in Research

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Quality Improvement for Population Health

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Science Matters: Let's Talk About COVID-19

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Study Designs in Epidemiology

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Survival Analysis in R for Public Health

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Systematic Creative Thinking: Tools for Success

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TensorFlow 2 시작하기

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Types of Vaccine

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Using Data for Healthcare Improvement

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Validity and Bias in Epidemiology

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What Are Viruses And How Do We Work With Them?

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What Do Viruses Do And How Do We Control Them

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XR in Healthcare Education and Clinical Practice

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