Udemy - Practical Biostatistics with R

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Udemy - Practical Biostatistics with R (Size: 2.6 GB)
  1 -Correlation.mp4 24.5 MB
  1 -Course contents and code.url 102.4 B
  1 -Data Collection.mp4 5.4 MB
  1 -Installing R and R Studio.mp4 18.9 MB
  1 -Introduction to Biostatistics.mp4 27.7 MB
  1 -Introduction.mp4 7.7 MB
  1 -Quartiles.mp4 11.2 MB
  1 -Range.mp4 5 MB
  1 -Student t-test.mp4 10.7 MB
  1 -Test of Proportion.mp4 15.8 MB
  1 -What is Data Visualization.mp4 4 MB
  1 -What is Statistical Inference.mp4 15.3 MB
  1 -What is a Probability Distribution.mp4 4.3 MB
  1 -What is a Statistical Hypothesis.mp4 8.7 MB
  1 -Why Probability.mp4 5.7 MB
  10 - Case Study Assignment Analyzing Tooth Growth in Guinea Pigs.html 1.6 KB
  10 -Mathematical Operations.mp4 29.1 MB
  11 - Assignment.html 4.9 KB
  2 -Defining Probability.mp4 8.8 MB
  2 -Histogram.mp4 10.4 MB
  2 -Mean.mp4 22.5 MB
  2 -Nominal Scale.mp4 5.3 MB
  2 -Null and Alternative Hypothesis.mp4 9.5 MB
  2 -One Sample t-test.mp4 1.6 MB
  2 -Percentiles.mp4 5.2 MB
  2 -Point Estimate.mp4 35.4 MB
  2 -R Studio Environment.mp4 63.8 MB
  2 -Regression.mp4 29.4 MB
  2 -Terms and Terminologies.mp4 20.7 MB
  2 -Test of Association.mp4 14.8 MB
  2 -Variance.mp4 5.3 MB
  3 -Bar Chart.mp4 4.9 MB
  3 -Binomial Distribution.mp4 22.6 MB
  3 -Deciles.mp4 1.7 MB
  3 -Dependent 2-sample or Paired sample t-test.mp4 2.5 MB
  3 -Error in Hypothesis Testing.mp4 7.9 MB
  3 -Interval Estimate.mp4 15 MB
  3 -Lab.mp4 141.5 MB
  3 -Logistic Regression.mp4 12.5 MB
  3 -Median.mp4 10.4 MB
  3 -Ordinal Scale.mp4 1.6 MB
  3 -Standard Deviation.mp4 4.1 MB
  3 -Terms and Definitions.mp4 24.2 MB
  3 -Variables and Comments.mp4 59.1 MB
  4 - Case Study Assignment Analysis of Heart Disease Risk Factors.html 3.3 KB
  4 -Box Plot.mp4 6 MB
  4 -Coefficient of Variation.mp4 2.3 MB
  4 -Functions and Packages.mp4 39.7 MB
  4 -Independent 2-sample t-test.mp4 1.4 MB
  4 -Interval Scale.mp4 3.3 MB
  4 -Lab.mp4 111 MB
  4 -Mode.mp4 4.1 MB
  4 -P-value.mp4 4.5 MB
  4 -Poisson Distribution.mp4 7.3 MB
  4 -Types of Probability.mp4 21 MB
  5 - Case Study Analysis of Health Factors Influencing Body Mass Index (BMI).html 3.8 KB
  5 - Case Study Assignment Investigating Blood Pressure Levels in Adults.html 2.8 KB
  5 - Case Study Assignment Measure of Partition Analysis using the msleep dataset.html 1.4 KB
  5 -Additions and Multiplication Rule of Probability.mp4 6.3 MB
  5 -Choice of Test Statistic.mp4 22.5 MB
  5 -F - test.mp4 6.9 MB
  5 -Lab.mp4 62.7 MB
  5 -Normal Distribution.mp4 22.8 MB
  5 -Pie Chart.mp4 2.4 MB
  5 -Ratio Scale.mp4 2.3 MB
  5 -Skewness.mp4 11.4 MB
  5 -Vectors.mp4 50.1 MB
  6 - Case Study Assignment Analysis of Health Variables in Predicting Diabetes.html 2.8 KB
  6 -Data Types.mp4 127.2 MB
  6 -Lab.mp4 112.6 MB
  6 -Scatter Plot.mp4 2.3 MB
  6 -Variables.mp4 2.6 MB
  7 - Case Study Assignment Blood Pressure Analysis Case Study Using Pressure Dataset.html 3.7 KB
  7 - Case Study Assignment Describing Birth Weight.html 3.2 KB
  7 - Case Study Assignment Investigating Medical Data Using Tests of Means.html 2.7 KB
  7 - Case Study Assignment Probability Distributions and Standardization.html 1.9 KB
  7 - Case Study Assignment Probability in Vaccine Trials.html 4.5 KB
  7 -Dataframes.mp4 202 MB
  7 -Line Graph.mp4 2 MB
  8 -Frequency Polygon.mp4 3.1 MB
  8 -Importing Data.mp4 51.7 MB
  9 -Data Wrangling and Exploratory Data Analysis with R.url 102.4 B
  9 -Factors.mp4 64.5 MB
  9 -Lab.mp4 259.5 MB
  9 -ggplot2 documentation.url 102.4 B
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 93 total files

Description


Practical Biostatistics with R

https://WebToolTip.com

Published 5/2025
Created by Ridwan Suleiman Adejumo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 88 Lectures ( 5h 50m ) | Size: 2.6 GB

Learn how to apply biostatistics to analyze, visualize, and interpret data in Biological and Health Sciences

What you'll learn
Apply biostatistical methods to analyze and interpret real-world biological and health data.
Utilize R programming for data manipulation, statistical analysis, and visualization in biostatistics.
Design robust experiments and validate statistical models for research and clinical studies.
Communicate statistical findings effectively using clear reports, tables, and visualizations.

Requirements
Basic Mathematics and Statistics Knowledge
Basic Computer Skills
No Prior Programming Experience Needed
Interest in Biological or Health Sciences

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