Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
- 5 stars84.94%
- 4 stars13.08%
- 3 stars1.25%
- 2 stars0.35%
- 1 star0.35%
it was amazing to learn from such a good mentor. I learn about many things that I didn't know. I learn more about the thing that I've already known.
Very good refreshment and well explained. I need to more practical exercises to produce the results. Survival analysis curves are new to me I need to read more
Excellent course, very well explained and the scientific articles used were a superb way to boost my confidence that I can do this, meaning stats. Thank you!
Great overview of basic hypothesis testing for means, proportions, and survival curves. Only additional thing that would be nice was a deeper review of the code involved in R.