Forecast infectious disease rate, build epidemiological modelling, and map the spread of infectious disease with heatmap
Sub Category
- Data Science
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Objectives
- Learn the basic fundamentals of biostatistics and infectious disease analysis
- Learn how to find correlation between population and disease rate
- Learn how to analyze infected patient demographics
- Learn how to map infectious disease per county using heatmap
- Learn how to analyze infectious disease yearly trend
- Learn how to perform confidence interval analysis
- Learn how to forecast infectious disease rate using time series decomposition
- Learn how to do epidemiological modeling using SIR model
- Learn how to perform public health policy evaluation
- Learn how to calculate infectious disease transmission rate using SIR model
- Learn several factors that accelerate the spread of infectious disease, such as population density, herd immunity, and antigenic variation
- Learn how to detect potential outliers using Z score method
- Learn how to clean dataset by removing missing rows and duplicate values
- Learn how to find and download datasets from Kaggle
Pre Requisites
- No previous experience in biostatistics is required
- Basic knowledge in Python and statistics
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)