Get an overview of the topics in this course.
- [Instructor] Here is what you should know before taking this course. First, please make sure that you have experienced the prerequisite course, which is Designing Big Data Healthcare Studies, Part One. In that course, I cover many concepts and terminology that are necessary for you to understand in order to complete this course. Part One focuses more on designing a hypothesis-driven study around your data. Part Two focuses on how to approach the analysis of your data, given your study design.
As with the prerequisite course, in order to benefit from this course, you need to already have a background in statistics, both descriptive statistics, as well as regression analysis. You should also have some experience with healthcare, either working in the setting or having experience working on healthcare-related projects. You need to have experience managing data. And although this course is not focused on a particular data management or statistical software, it's helpful if you are familiar with any of the software in this area, such as SQL, R, SAS, and SPSS.
This course is aimed at those with basic experience with statistics and healthcare data who want to take their skills to the next level and answer healthcare-related questions through hypothesis-driven big data analysis.
- Planning for the analysis
- Descriptive analysis
- Stepwise regression analysis
- Interpreting the final model
- Redefining and defending the final model