Nonlinear ODE's versus Statistics .

[DukeofDuke]

Nonlinear ODE's versus "Statistics".

Hi all,
My university offers a course on Probability followed by a more theoretical course on Statistics (not sure how standardized the names are).

They also offer a nonlinear ODE course.

From a physics major's point of view, which subject is harder to learn on my own? More advanced statistics or nonlinear ODE's? I want to know which one I should get the "professional" education on and which one I can pick up after a couple months of self study.

I am assuming the statistics course will involve more unfamiliar theoretical stuff, so I'm leaning towards that.

 

[R.Mesri]

Nonlinear ODEs and statistics are both very difficult topics to learn on one's own. Nonlinear ODEs involve a lot of complex mathematical tools to solve and analyze the equations, while Statistics involves a lot of statistical concepts and methods that require a strong understanding of mathematics and probability. Therefore, it is difficult to say which one is harder to learn without knowing more about the specific courses you are considering. However, if you have a strong mathematical background, then nonlinear ODEs may be a better option for you to pursue. On the other hand, if you have a strong interest in data analysis and are comfortable with probability, then you may prefer the Statistics course. Ultimately, it's up to you to decide which path would be best suited for your interests and skills.