Udemy - Python for Biostatistics - Analyzing Infectious Diseases Data

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.2 GB
  • Uploaded Byfreecoursewb
  • Downloads34
  • Last checkedNov. 03rd '23
  • Date uploadedNov. 02nd '23
  • Seeders 8
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Infohash : 2EC4043CC2F95FF8CDCDAA421CFB11C3A6D6AFC7

Python for Biostatistics: Analyzing Infectious Diseases Data

https://DevCourseWeb.com

Published 10/2023
Created by Christ Raharja
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 22 Lectures ( 3h 7m ) | Size: 1.23 GB

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

What you'll 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 graphics
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

Requirements
No previous experience in biostatistics is required
Basic knowledge in Python and statistics

Files:

[ DevCourseWeb.com ] Udemy - Python for Biostatistics - Analyzing Infectious Diseases Data
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction to the Course.mp4 (34.0 MB)
    • 2. Table of Contents.mp4 (45.2 MB)
    • 2.1 Python for Biostatistics.pptx (1.1 MB)
    • 3. Whom This Course is Intended for.mp4 (27.4 MB)
    10. Detecting Potential Outliers with Z Score
    • 1. Detecting Potential Outliers with Z Score.mp4 (61.0 MB)
    • 1.1 detectingpotentialoutliers.py (1.0 KB)
    11. Finding Correlation Between Population & Disease Rate
    • 1. Finding Correlation Between Population & Disease Rate.mp4 (51.3 MB)
    • 1.1 findingcorrelationbetweenpopulation&diseaserate.py (0.8 KB)
    12. Analyzing Infected Patients Demographics
    • 1. Analyzing Infected Patients Demographics.mp4 (81.7 MB)
    • 1.1 analyzinginfectedpatientsdemographics.py (1.0 KB)
    13. Mapping Infectious Disease per County with Heatmap
    • 1. Mapping Infectious Disease per County with Heatmap.mp4 (108.7 MB)
    • 1.1 mappinginfectiousdiseasepercounty.py (1.0 KB)
    14. Analyzing Infectious Disease Yearly Trend
    • 1. Analyzing Infectious Disease Yearly Trend.mp4 (86.2 MB)
    • 1.1 analyzinginfectiousdiseaseyearlytrend.py (1.4 KB)
    15. Performing Confidence Interval Analysis
    • 1. Performing Confidence Interval Analysis.mp4 (28.9 MB)
    • 1.1 confidenceintervalanalysis.py (0.6 KB)
    16. Forecasting Infectious Disease Rate with Time Series
    • 1. Forecasting Infectious Disease Rate with Time Series.mp4 (79.2 MB)
    • 1.1 forecastinginfectiousdiseaseratewithtimeseries.py (1.2 KB)
    17. Epidemiological Modelling with SIR Model
    • 1. Epidemiological Modelling with SIR Model.mp4 (81.3 MB)
    • 1.1 epidemiologicalmodelling.py (1.8 KB)
    18. Public Health Policy Evaluation
    • 1. Public Health Policy Evaluation.mp4 (81.7 MB)
    • 1.1 publichealthpolicyevaluation.py (1.4 KB)
    19. Conclusion & Summary
    • 1. Conclusion & Summary.mp4 (43.2 MB)
    2. Tools, IDE, and Datasets
    • 1. Tools, IDE, and Datasets.mp4 (89.0 MB)
    • 1.1 Python.html (0.1 KB)
    3. Introduction to Biostatistics
    • 1. Introduction to Biostatistics.mp4 (72.4 MB)
    4. Calculating Infectious Disease Transmission with SIR Model
    • 1. Calculating Infectious Disease Transmission with SIR Model.mp4 (58.4 MB)
    • 1.1 SIR Model.png (512.6 KB)
    5. Factors That Accelerate the Spread of Infectious Disease
    • 1. Factors That Accelerate the Spread of Infectious Disease.mp4 (54.9 MB)
    • 1.1 Population Density.html (0.1 KB)
    6. Setting Up Google Colab IDE
    • 1. Setting Up Google Colab IDE.mp4 (20.2 MB)
    • 1.1 Google Colab IDE.html (0.1 KB)
    7. Finding & Downloading Infectious Disease Dataset From Kaggle
    • 1. Finding & Downloading Infectious Disease Dataset From Kaggle.mp4 (63.8 MB)
    • 1.1 Kaggle.html (0.1 KB)
    8. Project Preparation
    • 1. Uploading Infectious Disease Dataset to Google Colab.mp4 (15.4 MB)
    • 1.1 Infectious Disease Dataset.html (0.1 KB)
    • 2. Quick Overview of Infectious Disease Dataset.mp4 (31.9 MB)
    • 2.1 infectiousdiseasedataoverview.py (0.4 KB)
    9. Cleaning Infectious Disease Dataset by Removing Missing Values & Duplicates
    • 1. Cleaning Infectious Disease Dataset by Removing Missing Values & Duplicates.mp4 (34.8 MB)
    • 1.1 cleaninginfectiousdiseasedataset.py (0.7 KB)
    • Bonus Resources.txt (0.4 KB)

Code:

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