About this Specialization

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Learner Career Outcomes
67%
Started a new career after completing this specialization.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Familiarity with seeing graphs and tables. Basic numeracy (so NOT calculus, trigonometry etc). No medical, statistical or R knowledge is assumed.

Approx. 2 months to complete

Suggested 12 hours/week

English

Subtitles: English

What you will learn

  • Recognise the key components of statistical thinking in order to defend the critical role of statistics in modern public health research and practice

  • Describe a given data set from scratch using descriptive statistics and graphical methods as a first step for more advanced analysis using R software

  • Apply appropriate methods in order to formulate and examine statistical associations between variables within a data set in R

  • Interpret the output from your analysis and appraise the role of chance and bias as explanations for your results

Skills you will gain

Statistical ThinkingSurvival AnalysisLogistic RegressionData analysis with RLinear Regression
Learner Career Outcomes
67%
Started a new career after completing this specialization.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Familiarity with seeing graphs and tables. Basic numeracy (so NOT calculus, trigonometry etc). No medical, statistical or R knowledge is assumed.

Approx. 2 months to complete

Suggested 12 hours/week

English

Subtitles: English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Course 1

Introduction to Statistics & Data Analysis in Public Health

4.7
stars
326 ratings
72 reviews
Course2

Course 2

Linear Regression in R for Public Health

4.8
stars
135 ratings
26 reviews
Course3

Course 3

Logistic Regression in R for Public Health

4.7
stars
105 ratings
25 reviews
Course4

Course 4

Survival Analysis in R for Public Health

4.4
stars
83 ratings
20 reviews

Offered by

Imperial College London logo

Imperial College London

Start working towards your Master's degree

This specialization is part of the 100% online Global Master of Public Health from Imperial College London. If you are admitted to the full program, your courses count towards your degree learning.

Reviews

TOP REVIEWS FROM STATISTICAL ANALYSIS WITH R FOR PUBLIC HEALTH

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • 3/4 hours a week for 3 to 4 months

  • The specialisation will assume no knowledge of statistics or R software.

  • We recommend taking the courses in the order in which they are displayed on the main page of the Specialization

More questions? Visit the Learner Help Center.