Very exciting news! My firm has been engaged by one of the largest data science training companies in Australia to develop a two-day commercially-available Julia course!

The brief I get is that we should assume little to no programming for the attendees. Given that’s the idea, I want to crowd-source some ideas as to what can be taught in two days. Any ideas welcome!

I see that Julia academy has two types of courses, one for Intro and one for **machine learning**. So I want to cover those. I think travelling salesman type problems and NP-completeness would be really fun to teach, but unfortunately, I don’t know much about **JuMP.jl** yet so would appreciate pointers to good intro optimization problems that attendee can learn to solve in half-a-day. I know ODE-solvers in Julia are world-class but I know even less about ODEs, so that would be out for the intro to Julia I will be teaching.

Of course I should teach **DataFrames.jl** and DataFramesMeta.jl.