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 stars84.91%
- 4 stars13.10%
- 3 stars1.25%
- 2 stars0.35%
- 1 star0.35%
I was able to review all of the concepts I learned previously in biostatistics. This is an excellent refresher course. Professor McGready is quite articulate and knowledgeable.
excellant descriptions, good examples and challenging practice sessions. Better if some more were added about ANOVA also. If it is considered as advanced , then it is ok. Good experience
perfect except if there is a reference material, as PDFs, for self-revision after the course; no need to go back to the full video to remember everything
This course astonishingly improved my ability in interpreting scientific paper results related to public health. Highly recommended. Thanks in advance to Dr. McGready for being such a great instructor