Biostatistics Course | Statistical Analysis & Clinical Trials | Biostatistics Training

Biostatistics Course: Statistical Analysis & Clinical Trials

Course enrollment

$120.00

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This course includes

Lessons
31
Duration
50h, 35m
Skill Level
Advance
Language
English, French
Certificate
After completed
Deadline
Nov 23, 2026

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Overview
Curriculum
Requirements

Module Name - Biostatistician

Course Overview

This course is designed for life science professionals, researchers, and clinical professionals seeking a robust foundation in biostatistics relevant to clinical trials. The curriculum provides a step-by-step journey through statistical concepts, from basic measures to advanced data analysis techniques including randomization, hypothesis testing, parametric & non-parametric tests, and interpretation of survival and meta-analysis data.

What You Will Learn

Biostatistics in Clinical Trials

Understand the role of biostatistics across the clinical trial lifecycle.
Central Tendency & Dispersion

Learn core statistical distribution concepts and measures.
Study Design & Randomization

Explore study structures and randomization techniques.
Hypothesis Testing

Detailed understanding of hypothesis testing and power analysis.
Statistical Tests

Application of parametric and non-parametric tests for clinical data.
Correlation & Regression

Model fitting and interpretation of relationships in data.
Graphical Techniques

Forest plots, spaghetti plots, and funnel plots for clear data representation.
Survival Analysis

Conduct survival analysis, KM curves, and interim analyses.

Why Choose This Course?

Comprehensive coverage from basic statistics to advanced analytical methods.
Hands-on experience with statistical software including SAS, R, and SPSS.
Practical application to real-world clinical trial scenarios.
Aligned with industry standards and regulatory requirements.
Expert-led training with practical assignments and exercises.

Career Outcomes

After completion, learners can pursue roles such as:

Biostatistician
Statistical Analyst
Clinical Data Analyst
Research Statistician

Course Curriculum

Through comprehensive modules and practical exercises, you'll master biostatistics fundamentals, statistical analysis techniques, clinical trial design, and data interpretation. The curriculum covers everything from basic statistical principles to advanced analytical methods, ensuring you develop both theoretical knowledge and practical skills for professional biostatistics careers.

Foundation & Fundamentals

6 Lessons
10h, 30min

Beginner

This module provides the essential foundation for biostatistics, covering basic terminology, introduction to the field, and fundamental concepts that every statistician needs to know.

Introduction to Biostatistics

Preview
Evolution and Scope of Statistics
Basic Statistical Terminology
Probability Theory Basics
Statistical Framework Overview
Global Statistical Guidelines

Statistical Analysis & Data Interpretation

8 Lessons
12h, 45min

Intermediate

This module focuses on statistical analysis techniques, data interpretation, and reporting mechanisms essential for biostatistics operations.

Data Analysis Fundamentals

Preview
Descriptive Statistics
eCRF Design for Statistical Data
Statistical Signal Detection
Statistical Tests Selection
Power Analysis
Statistical Analysis Plan Development
Statistical Reporting Techniques

Statistical Software & Tools

5 Lessons
8h, 15min

Intermediate

This module covers essential statistical software, databases, and tools needed for efficient data analysis and reporting.

SAS Software Walkthrough

Preview
R Programming for Statistics
SPSS for Clinical Data
Excel Advanced Functions
Statistical Database Management

Clinical Trial Design & Analysis

4 Lessons
6h, 20min

Intermediate

This module teaches clinical trial design principles, statistical analysis plans, and interpretation of clinical data.

Clinical Trial Design Overview

Preview
Sample Size Calculation
Randomization Techniques
Statistical Analysis Plan

Advanced Statistical Methods

5 Lessons
7h, 30min

Advanced

This module covers advanced statistical methods, survival analysis, and complex data interpretation techniques.

Survival Analysis Methods

Preview
Meta-Analysis Techniques
Bayesian Statistics
Interim Analysis & DMC
Statistical Reporting Standards

AI & Advanced Analytics

3 Lessons
5h, 15min

Advanced

This module introduces modern AI tools and advanced analytics techniques for statistical analysis operations.

AI in Statistical Analysis

Preview
Machine Learning for Data Analysis
Statistical Automation Tools

Requirements

To get the most out of this Biostatistics course, please ensure you meet the following requirements. These prerequisites will help you successfully complete the program and apply your learning effectively.

Clinical Trials Knowledge

Basic understanding of clinical trials recommended.
Software Familiarity

Excel, SAS/SPSS/R knowledge preferred but not mandatory.
Computer Access

Laptop/PC with stable internet connection required.
Hands-on Learning

Willingness to engage in assignments and practice exercises.

Biostatistics