Live R courses
Personalized support to help you learn R
Live R courses
Our live courses
Currently, our live R courses are offered to organizations or groups. Please see details and pricing in our course brochure.To inquire about individual seats, please email us at firstname.lastname@example.org.
Instructors with real-world expertise
The best way to learn R is from instructors who know your work. Our instructors are R experts who also have extensive experience working in local applied epidemiology and public health. Read more about our educational approach.
Practitioners love our courses
100% of participants rated our course as "Excellent" or "Good", saying:.
“Really tailored to the needs of epidemiologists. (Field Epidemiology Trainee)”
“The best online training I have ever had. (UK Health Agency epidemiologist”
“I’ve taken other R courses - this is the best R training I’ve ever had. (US CDC epidemiologist)”
“This course put me lightyears ahead in only 5 days! (Epidemiologist, a global NGO)”
“This course addressed the problems on my mind, those day-to-day challenges. Other R courses are far too fast or abstract - this is the first I’ve taken where I actually want to continue!… in 1 hour, we resolved R problems I’ve had for 1 year! (Mentor, Liberia Field Epi Training Program)”
“Inspirational instructors. I cannot recommend highly enough. (Epidemiology team lead)”
“This is one of the most applicable, intense trainings that I’ve done. Every time I’m thinking - I can use this! (US local epidemiologist)”
“This whole experience make me feel quite emotional. In a world that is so inequitable, R is a great equaliser. I feel very empowered by this training. (Epidemiologist, Country of Georgia)”
“I took the Coursera course - this is SO MUCH BETTER. It is so much more tailored to my direct needs. I don’t think like a programmer, I think like an epidemiologst, so this is much more intuitive. (US local epidemiologist)”
Training ground-level public health teams worldwide
In addition to the 250,000 people who use our free resources, Applied Epi has delivered live training to personnel affiliated with:The World Health Organization (WHO)Vital StrategiesNigeria Field Epidemiology and Laboratory Training Program (FELTP)The African Field Epidemiology Training Network (AFENET)Liberia Field Epidemiology Training ProgramThe Gambia Field Epidemiology Training ProgramZambia Field Epidemiology Training ProgramNamibia Field Epidemiology Training ProgramThe University of Global Health Equity (UGHE) in RwandaPeru Field Epidemiology Training ProgramThe Belize Ministry of Health and WelfareGuatemala Field Epidemiology Training ProgramThe European CDC (ECDC)Public Health Wales (UK)The UK Field Epidemiology Training Program (FETP)US CDC Central Asia OfficeGeorgia National Centre For Disease Control and Public HealthSaudi Arabia Field Epidemiology Training ProgramTaiwan Centers for Disease ControlThe US CDCThe CDC FoundationThe California Department of Public HealthThe New York State Department of HealthHealth departments for US counties: Sonoma (CA), Fulton (GA), Ingham (MI), Jackson (MI), Clinton (MI), Gratiot(MI), Montcalm (MI), Barry (MI), and Eaton (MI)The Southern Plains Tribal Health Board (Tribal Epidemiology Center, Oklahoma City)Safe & Just MichiganThe US Virgin Islands Department of HealthEmory University
Our Intro course is bundled with follow-up support in the weeks and months after the classroom instruction, to help you apply your new R skills to your work context.
Our prices are lower than commercial enterprises or universities selling R training - and our instructors know your challenges and tasks better. Contact us to discuss eligibility for reduced pricing.
Our partners and clients
We partner with local, national, and international health agencies to train their staff. We have worked with Ministries of Health, county/state health agencies, international NGOs, UN agencies, and Field Epi training programs.
Introduction to R for Applied Epidemiology
Participants learn to use R with typical datasets for applied epidemiology using an outbreak investigation case study.
Data cleaning, transforming and joining data, data visualization and graphics, basic GIS mapping, basic statistics, descriptive summary tables, reproducible automated reports (see curriculum details in brochure).
40 hours (10 half-day sessions plus 1-on-1 support) of synchronous instruction.
Remote and in-person options are available.
Pricing is detailed in our course brochure. Contact us to discuss eligibility for discounted prices.
Advanced R courses
These 1-day workshops on advanced R techniques are currently offered only to organizations. Please contact us for availability.
An advanced beginner or intermediate competency in R is a prerequisite. Most students who successfully complete our “Introduction to R for Applied Epidemiology” course are prepared to enroll in these workshops.
GIS mapping with R
Collaboration and version control with R, Git, and GitHub
Dashboards with R Markdown or with R Shiny
R and databases
Advanced data management and task iteration with R
Advanced automated reports with R Markdown
Advanced statistics and regression modeling in R
Advanced data visualization with the ggplot2 package
Survey analysis with R
Applied Epi Incorporated, 2022
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