Introduction to Statistical Methods for Life and Health Sciences Course

Program Overview

This remote statistics course provides a comprehensive overview of statistical concepts, from data collection to hypothesis testing. Through lectures, discussions, and hands-on exercises, students will develop a strong foundation in statistical methods and their applications in life and health sciences. Graduates will be well-prepared for careers in healthcare, research, and education.

Program Outline

Outline:

Module 1: Introduction to Statistics

• Overview of statistics
• Role of statistics in life and health sciences
• Data collection and sampling methods
• Data presentation and visualization

Module 2: Descriptive Statistics

• Measures of central tendency
• Measures of variability
• Exploratory data analysis

Module 3: Correlation and Regression

• Correlation analysis
• Regression analysis
• Model building and interpretation

Module 4: Basic Statistical Inference

• Estimation
• Hypothesis testing
• Confidence intervals
• ANOVA

Assessment:

• Homework assignments
• Quizzes
• Midterm exam
• Final exam

Teaching:

• The course is taught by experienced instructors with a strong background in statistics.
• The course uses a combination of lectures, discussions, and hands-on exercises.
• The course is offered in a remote format, allowing students to participate from anywhere.

Careers:

• Graduates of this course will be prepared for careers in a variety of fields, including healthcare, research, and education.