Online Course – Johns Hopkins University Certified Professional Internship in Public Health Biostatistics

Develop scientific statistical skills. Master the tools and methods required for the analysis, interpretation, and communication of biostatistical data.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Reading and interpreting scientific literature in the field of public health
  • In-depth understanding of research methodology and results
  • Preparation for integration into research teams
  • Applying biostatistical knowledge in teamwork
  • Analysis and understanding of research in the field of medicines and preventive measures
  • Providing statistical advice to researchers

What you will learn in the course

Courses for which the course is suitable

  • Public health professionals
  • Researchers
  • Data analysts
  • Social workers
  • Biostatistical consultants
  • Research team members
  • Medical experts
  • Experts in biological sciences
  • Professionals in related fields

Internship – Series of 4 courses

This specialization is designed for public health professionals, researchers, data analysts, social workers, and others who need a comprehensive guide to biostatistics. Graduates will be able to read and interpret scientific literature, including methodology and results, in public health, medicine, biological sciences, and related fields. Successful learners will be prepared to join research teams.

Applied Learning Project

In each course, learners will assume the role of biostatistical consultants and assist research teams in reviewing and interpreting published scientific literature. Throughout the internship, learners will return to two important studies:

  • Research on asthma medications
  • Research on injectable contraceptives

The goal is to answer researchers’ questions regarding statistical methods and their results.

Details of the courses that make up the specialization

Summary statistics in public health

Course 1: Basic Statistics

Duration: 15 hours

Rating: 4.8 (1,890 ratings)

  • What you will learn:
    • Calculate measures of continuous data
    • Data coverage spread
    • Analyze binary data
    • Time to event segment
  • Skills you will gain:
    • statistics
    • Normal distribution
    • Quantitative threats
    • Binary data

Course 2: Hypothesis Testing in Public Health

Duration: 19 hours

Rating: 4.8 (612 ratings)

  • What you will learn:
    • Use statistical methods to analyze sampling distributions
    • Estimate and interpret 95% confidence intervals for a single sample
    • Estimate and interpret 95% confidence intervals for two populations
    • Estimate and interpret p-values ​​for testing
  • Skills you will gain:
    • Confidence interval
    • p-values
    • Statistical hypothesis testing
    • sampling

Course 3: Simple Regression Analysis in Public Health

Duration: 13 hours

Rating: 4.7 (367 ratings)

  • What you will learn:
    • Practice simple regression methods to determine relationships between outcome and predictor
    • Identify intervention in statistical analysis
    • Make adjustments to estimates
  • Skills you will gain:
    • p-value
    • Regression
    • Proportional Hazards Model
    • intervention

Course 4: Multiple Regression Analysis in Public Health

Duration: 14 hours

Rating: 4.7 (292 ratings)

  • What you will learn:
    • Practice multiple regression methods to determine relationships between an outcome and multiple predictors
    • Using the Spline Approach for Nonlinear Relationships with Continuous Predictors
    • Performing calculations with multiple predictor variables
  • Skills you will gain:
    • Change of influence
    • Proportional Hazards Model
    • Regression analysis
    • Spline approach