About Applied Epi:
Applied Epi is a grassroots, nonprofit organization that is the leading provider of R training and support for the public health workforce. Our free
Epidemiologist R Handbook has been used over 2.7 million times by 750,000 people, and we have delivered synchronous R courses to 1,500 people at hundreds of health agencies including the US CDC, European CDC, Nigeria CDC, Doctors without Borders, WHO, national Ministries of Health, hundreds of district/local/county agencies, and Field Epidemiology Training Programs (FETPs).
Course overview: This course aims to translate a participants statistical knowledge into easy to use, adaptable and reproducible code in R.
The focus in on teaching R code, not statistical theory. We begin by establishing a foundation in R coding of descriptive analysis of the data and simple statistical tests (t-test, chi squared, etc) before progressing to uni- and multivariable regression. There is strong emphasis on usability through applied instruction and streamlined application that seeks to take those with statistical knowledge, and a base understanding of R, and leave them with the ability and confidence to carry out reproducible statistical analysis and presentation in R.
Sessions include live coding demonstrations, lectures, interactive facilitated coding exercises, and 1-on-1 support meetings with instructors. There is approximately 1 instructor for each 6 participants You can read more in
our brochure or our
training page.
Language: This course is delivered in English.
Schedule: The classroom instruction will consist of 2 virtual, synchronous sessions of 3.5 hours each. Before the course, you are expected to complete software installations (R, RStudio, and RTools, R packages) and download of course materials.
Meeting platform: The course will occur via Google Meets. Please join via Google Chrome web browser.
Session 1: Tuesday 23 July, 1630-2000 GMT
Session 2: Thursday 25 July, 1630-2000 GMT
Price per seat: 18 seats are available for immediate reservation at USD $ 450.00. Payment is preferred by bank transfer (accepted in USD, Euro, or GBP). Credit/debit cards are also accepted through our PayPal platform, but additional fees may apply. Within a few days of receiving your reservation, you will receive an email with payment or waitlist instructions, as applicable. Payment must be made within 10 business days of receiving the invoice or we may cancel your reservation.
