Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
3 months
Duration
3 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown

About

Wrangle, Visualize and Analyze Health Data. Import, process data and fit basic statistical models to analyze health outcome data, all in the R statistical environment with this Data Science for Health Research Specialization offered by Coursera in partnership with University of Michigan.

Visit programme website for more information

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

Programme Structure

Courses include:

  • Arranging and Visualizing Data in R
  • Linear Regression Modeling for Health Data
  • Logistic Regression and Prediction for Health Data

Key information

Duration

  • Part-time
    • 3 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

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.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.
  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

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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