This course is designed to equip students in the field of medical laboratory sciences with a solid foundation in statistical principles and their practical applications in healthcare settings. Through a blend of theoretical knowledge and hands-on experience, students will learn to use appropriate software to analyze, interpret, and effectively communicate data derived from laboratory tests and experiments. Topics covered include basic statistical concepts, data collection methods, specificity and sensitivity of medical tests, hypothesis testing, confidence intervals, regression analysis, Chi-square for comparisons of proportions, ANOVA, Simple and Multiple Linear regression, Logistic regression, and Survival Analysis. By mastering statistical techniques tailored to their profession, students will be better prepared to contribute to evidence-based healthcare practices, conduct research, and ensure the accuracy and reliability of laboratory results, ultimately enhancing their role in patient care and medical research. While this course does not have any prerequisites, it is strongly recommended that students who enroll in this course have prior experience with statistical methods.