
Overview
In Data Science for Health Research Specialization offered by Coursera in partnership with University of Michigan, learn to organize and visualize health data using statistical analysis in programs like R. Explore how to translate data, interpret statistical models, and predict outcomes to help make data-informed decisions within the public health field.
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Michigan
Skills you'll gain
- Regression Analysis
- Data Manipulation
- Predictive Modeling
- Data Wrangling
- Histogram
- Ggplot2
- Statistical Inference
- Tidyverse (R Package)
- R Programming
- Scatter Plots
- Statistical Modeling
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Arranging and Visualizing Data in R
- Linear Regression Modeling for Health Data
- Logistic Regression and Prediction for Health Data
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
- Flexible
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Health Sciences Data Science & Big Data View 577 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying
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
Intermediate level
- There are no formal requirements to take this specialization. Course 1 is primarily for those who have no previous experience working with R.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months.
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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.