Course Details
Linear Regression and Analysis
Why it Matters for Students
Statistics is the language of science. University students, especially those in social and public health sciences, must understand predictive modeling to draw valid conclusions from their data.
Learning Objectives
- Foundations of correlation and simple linear regression.
- Assumptions checking and model diagnostic testing.
- Interpreting coefficients and P-values in academic contexts.
- Introduction to multivariable modeling for complex data.
Certification
Upon successful completion of the coursework, students will be eligible for a HEART Global Academic Certificate.
"A certificate will be provided after the completion of the course after a short assessment test."