Introduction to Biostatistics
Description
Biostatistics is a branch of statistics focused on the analysis and interpretation of biological and health-related data. It involves the application of statistical methods to address research questions in medicine, public health, biology, and related fields. The primary goal of biostatistics is to draw meaningful conclusions from data collected in areas like clinical trials, epidemiology, genetics, and environmental health. Overall, biostatistics integrates statistical theory and methods with biological, health, and medical sciences to advance knowledge, inform decision-making, and improve health outcomes. It is a multidisciplinary field that requires a strong foundation in both statistics and life sciences.
$195 (Fee covers training materials)
April 24 and 25, 2026 10 am-12 pm MT
Purpose
Studying biostatistics is fundamental for anyone interested in biological or health-related sciences. It equips researchers and practitioners with the quantitative skills needed to conduct rigorous research, make informed decisions, and contribute to advancements in healthcare and globally.
Expected Learning Outcomes
By the end of this training, you will be able to
recognize and differentiate between statistical terminologies;
apply various types of sampling methods to data collection; and
create and interpret frequency tables.
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.
Learning Approach
Programs are delivered through live online interactive sessions with seasoned instructors having vast experiences in academia. Contents are well structured and manageable with self-paced learning activities and exercises. Our approach provides learners opportunities for hands-on practice, asking questions, investigating problems, and applying their knowledge to solve complex scenarios or real-world problems. In the end, learners develop deeper understanding, critical thinking, and problem-solving skills.
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