How to Learn Advanced Mathematics Without Heading to University – Part 3

Am I missing something? This just appears to be a link to buy some guy's ebooks.

Seems pretty comprehensive to me. As a career quant trader I'd say it's a matter of doing the advanced stuff so that you understand the simple stuff. Especially in statistics, there are a number of simple principles, but they need to be learned by incorporating them into some complicated lessons.

There's also programming. That's a whole can of worms in itself. There's both theory and practice, where I'd say the practice is far more important than it seems. You really have to have bashed your head against a wall (of your own making) to appreciate how to code in a sensible, maintainable way.

There are about a half dozen ads (and a fade-in popover) above the actually content. It's a terrible site design from the perspective of someone wanting to read the content on mobile, but the article is there.

I also just left without reading it, due to the ads.

I'm aiming to become a quant dev.

I'm already a dev, but trying to catch up wrt the math at the moment :-O

I'm finding there are a whole bunch of skills unrealted to most dev concerns. looking at this: http://quantjob.blogspot.com/2011/12/how-to-avoid-quantdevel... I think a lot of dev skills are "housekeeping" - VC, commenting, testing, agile, automation, standards etc.

The quant dev stuff seems to be a lot more concerned with performance, correctness and accuracy, and the last two in particular are somewhat specialist dev skills I think - I've found code derived from mathematical equations be be a little different to other code.

To get the key ideas behind many of these topics, you could try reading Evan Chen's Infinitely Large Napkin: http://www.mit.edu/~evanchen/napkin.html