Python for Biostatistics: Analyzing Infectious Diseases Data

Forecast infectious disease rate, build epidemiological modelling, and map the spread of infectious disease with heatmap
4.28 (16 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Python for Biostatistics: Analyzing Infectious Diseases Data
3 109
students
3 hours
content
Oct 2023
last update
$13.99
regular price

What you will learn

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

Course Gallery

Python for Biostatistics: Analyzing Infectious Diseases Data – Screenshot 1
Screenshot 1Python for Biostatistics: Analyzing Infectious Diseases Data
Python for Biostatistics: Analyzing Infectious Diseases Data – Screenshot 2
Screenshot 2Python for Biostatistics: Analyzing Infectious Diseases Data
Python for Biostatistics: Analyzing Infectious Diseases Data – Screenshot 3
Screenshot 3Python for Biostatistics: Analyzing Infectious Diseases Data
Python for Biostatistics: Analyzing Infectious Diseases Data – Screenshot 4
Screenshot 4Python for Biostatistics: Analyzing Infectious Diseases Data

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5623864
udemy ID
23/10/2023
course created date
27/10/2023
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