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Johns Hopkins University

Biostatistics in Public Health

Johns Hopkins University via Coursera Specialization

Overview

This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.

Syllabus

Course 1: Summary Statistics in Public Health
- Offered by Johns Hopkins University. Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to ... Enroll for free.

Course 2: Hypothesis Testing in Public Health
- Offered by Johns Hopkins University. Biostatistics is an essential skill for every public health researcher because it provides a set of ... Enroll for free.

Course 3: Simple Regression Analysis in Public Health
- Offered by Johns Hopkins University. Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to ... Enroll for free.

Course 4: Multiple Regression Analysis in Public Health
- Offered by Johns Hopkins University. Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to ... Enroll for free.

Courses

Taught by

John McGready, PhD, MS

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Reviews

5.0 rating, based on 1 reviews

Start your review of Biostatistics in Public Health

  • This Course Specialization allowed me to tie loose ends on commonly-encountered biostatistics topics for use in research and teaching. While there are typographical issues and "remnants" of the previous incarnations of the material, I find all of these forgivable. Dr. McGready did a great job in explaining the step-by-step processes of the statistical techniques covered. However, do not expect that this course will teach you any statistical software, as the number-crunching step was intentionally omitted to focus on the concepts rather than on the scut work.

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