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Overview
Key Features
- Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature.
- Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics of the Simple Regression Analysis in Public Health course offered by Coursera in partnership with Johns Hopkins University include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
Programme Structure
Courses included:
- Simple Regression Methods
- Simple Logistic Regression
- Simple Cox Proportional Hazards Regression
- Confounding, Adjustment, and Effect Modification
- Course Project
Key information
Duration
- Part-time
- 1 months
- 4 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Public Health Statistics Health Administration View 107 other Short Courses in Statistics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner Level
- The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Audit: free access to course materials except graded items
- Certificate: a trusted way to showcase your skills
- A year of unlimited access with Coursera Plus $399
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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