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Python for Biostatistics: Analyzing Infectious Diseases Data

سرفصل های دوره

Forecast infectious disease rate, build epidemiological modelling, and map the spread of infectious disease with heatmap


1. Introduction
  • 1. Introduction to the Course
  • 2.1 Python for Biostatistics.pptx
  • 2. Table of Contents
  • 3. Whom This Course is Intended for

  • 2. Tools, IDE, and Datasets
  • 1.1 Python.html
  • 1. Tools, IDE, and Datasets

  • 3. Introduction to Biostatistics
  • 1. Introduction to Biostatistics

  • 4. Calculating Infectious Disease Transmission with SIR Model
  • 1.1 sir model.zip
  • 1. Calculating Infectious Disease Transmission with SIR Model

  • 5. Factors That Accelerate the Spread of Infectious Disease
  • 1.1 Population Density.html
  • 1. Factors That Accelerate the Spread of Infectious Disease

  • 6. Setting Up Google Colab IDE
  • 1.1 Google Colab IDE.html
  • 1. Setting Up Google Colab IDE

  • 7. Finding & Downloading Infectious Disease Dataset From Kaggle
  • 1.1 Kaggle.html
  • 1. Finding & Downloading Infectious Disease Dataset From Kaggle

  • 8. Project Preparation
  • 1.1 Infectious Disease Dataset.html
  • 1. Uploading Infectious Disease Dataset to Google Colab
  • 2.1 infectiousdiseasedataoverview.zip
  • 2. Quick Overview of Infectious Disease Dataset

  • 9. Cleaning Infectious Disease Dataset by Removing Missing Values & Duplicates
  • 1.1 cleaninginfectiousdiseasedataset.zip
  • 1. Cleaning Infectious Disease Dataset by Removing Missing Values & Duplicates

  • 10. Detecting Potential Outliers with Z Score
  • 1.1 detectingpotentialoutliers.zip
  • 1. Detecting Potential Outliers with Z Score

  • 11. Finding Correlation Between Population & Disease Rate
  • 1.1 findingcorrelationbetweenpopulation&diseaserate.zip
  • 1. Finding Correlation Between Population & Disease Rate

  • 12. Analyzing Infected Patients Demographics
  • 1.1 analyzinginfectedpatientsdemographics.zip
  • 1. Analyzing Infected Patients Demographics

  • 13. Mapping Infectious Disease per County with Heatmap
  • 1.1 mappinginfectiousdiseasepercounty.zip
  • 1. Mapping Infectious Disease per County with Heatmap

  • 14. Analyzing Infectious Disease Yearly Trend
  • 1.1 analyzinginfectiousdiseaseyearlytrend.zip
  • 1. Analyzing Infectious Disease Yearly Trend

  • 15. Performing Confidence Interval Analysis
  • 1.1 confidenceintervalanalysis.zip
  • 1. Performing Confidence Interval Analysis

  • 16. Forecasting Infectious Disease Rate with Time Series
  • 1.1 forecastinginfectiousdiseaseratewithtimeseries.zip
  • 1. Forecasting Infectious Disease Rate with Time Series

  • 17. Epidemiological Modelling with SIR Model
  • 1.1 epidemiologicalmodelling.zip
  • 1. Epidemiological Modelling with SIR Model

  • 18. Public Health Policy Evaluation
  • 1.1 publichealthpolicyevaluation.zip
  • 1. Public Health Policy Evaluation

  • 19. Conclusion & Summary
  • 1. Conclusion & Summary
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    تاریخ انتشار: ۲۸ آذر ۱۴۰۲
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