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Results for "describe how we can detect, identify and track viruses in individuals and populations"
Imperial College London
Johns Hopkins University
Skills you'll gain: Epidemiology, Data Analysis, Data Visualization, Problem Solving, Estimation
Imperial College London
Johns Hopkins University
Skills you'll gain: Biostatistics, General Statistics, Probability & Statistics, Statistical Analysis, Statistical Tests, Data Analysis, Regression, Basic Descriptive Statistics, Critical Thinking, Estimation, Probability Distribution, Data Visualization, Problem Solving
Imperial College London
Skills you'll gain: Epidemiology, Data Analysis, General Statistics, Probability & Statistics, Critical Thinking, Statistical Tests, Research and Design, Statistical Analysis, Basic Descriptive Statistics, Biostatistics, Problem Solving, Regression
- Status: Free
Technical University of Denmark (DTU)
Skills you'll gain: Bioinformatics
- Status: Free
Johns Hopkins University
Skills you'll gain: Epidemiology
- Status: Free
Johns Hopkins University
Skills you'll gain: Epidemiology
- Status: Free
American Museum of Natural History
Skills you'll gain: Epidemiology
- Status: Free
Technical University of Denmark (DTU)
Imperial College London
Skills you'll gain: Epidemiology
- Status: Free
The University of North Carolina at Chapel Hill
Skills you'll gain: Epidemiology
In summary, here are 10 of our most popular describe how we can detect, identify and track viruses in individuals and populations courses
- Foundations in Virology and Vaccinology: Imperial College London
- Epidemiology in Public Health Practice: Johns Hopkins University
- What Are Viruses And How Do We Work With Them?: Imperial College London
- Biostatistics in Public Health: Johns Hopkins University
- Epidemiology for Public Health: Imperial College London
- Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
- Infectious Disease Transmission Models for Decision-Makers: Johns Hopkins University
- COVID-19 Contact Tracing: Johns Hopkins University
- Virology and Epidemiology in the Time of COVID-19: American Museum of Natural History
- Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)