FUNDAMENTALS OF BIOSTASTISTICS
Intermediate Level
Enhance your skills with our intermediate biostatistics course, designed to deepen your understanding and prepare you for advanced applications.
Courses
- Point and Confidence Interval Estimation
- Effect of Sample Size on Confidence Interval
- Principles of Hypothesis Testing
- Practical Applications of Hypothesis Testing
- Power and Sample Size
- Nonparametric Tests
- Simple Linear Regression Analysis
- Multiple Linear Regression Analysis
- Multilevel Data Structure
- Synopsis of Correlation Analysis
Receive a 10% discount by registering for 2 or more courses
(Fee covers training materials)
Description
Biostatistics at the intermediate level delves deeper into the analysis and interpretation of biological and health-related data, focusing on advanced statistical methods to tackle complex research questions in medicine, public health, and biology. This stage emphasizes the application of techniques such as regression analysis, survival analysis, and experimental design in real-world contexts, including clinical trials, epidemiology, and genetics. The goal is to enhance the ability to extract meaningful insights from data, inform health policies, and contribute to improved health outcomes. This multidisciplinary field builds on foundational knowledge in statistics and life sciences, preparing individuals to address pressing health challenges through rigorous data analysis.
Course Structure
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- Course Duration: A period of 27 immersive weeks designed to guide you through live online classes.
- Learning Hours: 54 hours of learner-instructor interaction
- Learning Experience: Engage with instructors and other learners in real-time and go through learning path together.
- Interactive Assessments: Stay on track with fun quizzes, peer collaboration, and hands-on projects.
- Certification: Showcase your achievement with an official Certificate of Completion at the end of the course!
- Contact Support to register for two or more courses here
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Course Highlight

Target Learners
This training program is designed for individuals or groups of people who work in clinical settings, academia, pharmaceutical industries, Government, corporations, nonprofit organizations, and organizations that work on biological data.
Why this course

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