Epidemiologists figure out who gets sick, why, and what we can do about it. In the US most are hired with a Master's degree (usually an MPH or MS in epidemiology) and about two-thirds of workers hold one. This roadmap teaches you the core thinking first (counting disease, comparing groups, spotting bias), then the tools (R, SQL, SAS, GIS), then the real work of outbreak investigation, surveillance and writing. Everything here is free to learn. You will build a portfolio of real analyses on public data, which is what gets you into a master's program and then hired at a health department, hospit
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Every stage from beginner to expert, with lessons, practice drills, projects, interview questions and free resources. Free with a Rolearch account.
Stage 1 of 3 · about 12 weeks
Understand how disease is measured and compared, and be able to do basic analysis in R and Excel.
Core epidemiology concepts and measures
Every job task, from outbreak reports to grants, rests on counting disease correctly. If you cannot tell incidence from prevalence, nothing else will make sense.
Biostatistics basics
Statistics tells you whether a difference is real or just chance. Epidemiologists use it daily to judge confidence intervals, p-values and trends.
R programming for data analysis
R is the main free tool in epidemiology. Writing code lets you repeat and share your analysis, which employers value over point-and-click work.
Reading public health literature
Reading Comprehension and Critical Thinking are top skills for the job. You will judge studies all day.
Then 2 more stages (about 56 weeks in all) with lessons, drills, projects, 6 interview questions with strong answers and free resources.