Statistical Analysis with R for Public Health Specialization
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INTRODUCTION
Statistical analysis is important in medicine, and at the core of the discipline of public and family health. This course will give you a look into medical research and show you how and why you can turn an idea into a scientifically valid hypothesis. This course covers
the basic concepts of statistical concepts , analyzing data sets covering key public health issues , and using R free software.
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COURSE OBJECTIVES
By the end of the course, you‘ll be able to:
- Learn the basics of statistical thinking in modern public health research and practice
- Use descriptive statistics and graphical methods with R software to describe a given data set
- Map out statistical correlations between variables within a data set in R.
- Interpret the outcome of your analysis and assess the role of chance and bias as explanations for your results
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COURSE AUDIENCE
This course is made for:
- Consultants
- Researchers
- Analysts
- Doctors
- Students in Data Science, Medical, Machine Learning
- Data science professionals to prepare for job interviews
- Any one interest in medical matters
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COURSE OUTLINE
Day One
- Introduction to Statistics in Public Health
Day Two
- Introduction to Data Analysis in Public Health
Day Three
- Linear Regression in R for Public Health
Day Four
- Logistic Regression in R for Public Health
Day Five
- DataAnalysis in Public Health
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