Overview: Submit this form to reserve a seat in the course "Introduction to R for Applied Epidemiology", offered by Applied Epi in April - May 2024.
Scholarships are FULL. Scholarship opportunities for future cohorts will be posted later in 2024.About Applied Epi:
Applied Epi is a grassroots, nonprofit organization that is leading public health's transition to R. Our free
Epidemiologist R Handbook has been used over 2 million times by 600,000 people, and we have delivered R courses to 800 epis from dozens of health agencies including the US CDC, European CDC, Doctors without Borders, WHO, and the Nigeria Field Epidemiology and Laboratory Training Program (FELTP).
Course overview: A focus on practical, public health case studies emphasizing data cleaning and making plots, tables, and automated reports. 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 10 virtual, synchronous sessions of 3.5 hours each. Before the course, you are expected to schedule a 1-on-1 preparation call with an instructor to verify that your software installations (R, RStudio, and RTools) and download of course materials is complete. Each participant will also receive 1 hour of follow-up with an instructor, to be scheduled after the course finished.
Meeting platform: The course will occur via Google Meets. Please join via Google Chrome web browser.
Dates: Tuesdays and Thursdays from April 4 to May 2.
Time: 1630-2000 GMT
(starts: 0930 Los Angeles, 1230 NYC,1730 London/Lagos, 1830 Berlin, 1930 Kampala)
Session 1: Thursday 4 April, 1630-2000 GMT
Session 2: Tuesday 9 April, 1630-2000 GMT
Session 3: Thursday 11 April, 1630-2000 GMT
Session 4: Tuesday 16 April, 1630-2000 GMT
Session 5: Thursday 18 April, 1630-2000 GMT
Session 6: Tuesday 23 April, 1630-2000 GMT
Session 7: Thursday 25 April, 1630-2000 GMT
Session 8: Tuesday 30 April, 1630-2000 GMT
Session 9: Thursday 2 May, 1630-2000 GMT
Session 10: Tuesday 7 May, 1630-2000 GMT
Prerequisites: Participants are required to be very comfortable using Microsoft Excel for cleaning and analysis, and to have exposure to statistical tools such as SPSS or EpiInfo. Experience with SAS, Stata, or Python is not required but will be beneficial. If you are unsure of your eligibility, please discuss with us.
Price per seat: 18 seats are available for immediate reservation at USD $ 975.00. 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.
