Data Science & Biostatistics with R Programming and RStudio: From Fundamentals to Advanced Statistical Modeling
Sub Category
- Other Teaching & Academics
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Objectives
- Apply ggplot2 to create professional, publication-quality graphs for biostatistical data
- Use gtsummary to generate clear, formatted regression tables for research reporting
- Perform and interpret Linear Regression for continuous outcomes
- Conduct Logistic Regression to estimate odds ratios for binary outcomes
- Apply Log-Binomial Regression to directly estimate risk ratios
Pre Requisites
- Basic understanding of R is recommended.
- Familiarity with fundamental statistics concepts such as mean, median, proportion, and basic regression.
- A computer with R and RStudio installed.
- Willingness to learn intermediate-level data analysis, visualization, and regression techniques in R.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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