Certificate Course in Applied Biostatistics for Healthcare Professionals

Certification in Applied Biostatistics

Master biostatistics for healthcare success

$250

$500

Instructor: DIGIMED GLOBALLanguage: English

Course Overview

This intensive 3-month program bridges the gap between theoretical biostatistics and real-world healthcare applications. Designed by practicing researchers, the course gives you practical skills to:

  • Design and analyze clinical studies
  • Work confidently with healthcare datasets
  • Use statistical software like SPSS, R, and STATA
  • Interpret results for evidence-based practice
Biostatistics Course

Why Choose This Course?

Hands-on Software Training

Practical sessions with SPSS, R, STATA, and JAMOVI using real healthcare datasets

Recognized Certification

ISO-certified and NAAC-affiliated credential to boost your professional profile

For Healthcare Professionals

Tailored content for clinicians, researchers, and public health specialists

Real-world Applications

Case studies from clinical trials, observational studies, and hospital data

Your Learning Journey

1

Registration

Secure your spot

2

Hands-on Labs

Software practice

3

Assignments

Real datasets

4

Certification

Earn your credential

Course Modules

Foundations of Biostatistics

  • Types of data and variables
  • Descriptive statistics
  • Data distributions
  • Statistical significance

Data Handling & Visualization

  • Data collection methods
  • Cleaning healthcare data
  • SPSS/R/STATA basics
  • Creating effective visualizations

Statistical Testing

  • Hypothesis testing
  • t-tests and ANOVA
  • Chi-square tests
  • Non-parametric tests

Regression Analysis

  • Linear regression
  • Logistic regression
  • Multivariable models
  • Interpretation of results

Clinical Applications

  • RCTs and observational studies
  • Sample size calculation
  • Risk ratios and ORs
  • Diagnostic test statistics

Advanced Techniques

  • Survival analysis
  • Meta-analysis basics
  • Bayesian statistics intro
  • Machine learning overview

Course Modules

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