📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Advanced Medical Statistics: Data Analysis for Evidence-based Decision Making, from foundations to a certified capstone project.
Outline
Overview of medical statistics and its role in clinical research • Understanding different types of research designs and their implications for statistical analysis
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Calculation and interpretation of descriptive statistics (measures of central tendency, variability) • Effective data presentation techniques for clinical research
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Understanding probability theory and its applications in clinical research • Study of common probability distributions (normal, binomial, Poisson)
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Principles of statistical inference and hypothesis testing • Performing t-tests, chi-square tests, and other parametric and non-parametric tests
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Construction and interpretation of confidence intervals • Sample size determination for clinical research studies
Outline
Introduction to ANOVA and its applications in clinical research • Performing one-way and two-way ANOVA tests
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Understanding the concepts of linear regression and correlation • Analyzing the relationship between variables and interpreting regression coefficients
Earn government-registered certification in Advanced Medical Statistics: Data Analysis for Evidence-based Decision Making
e-Certificate and e-Marksheet issued on successful completion.
