Can I self-study math to improve my skills and advance in my career?

AI Thread Summary
Self-studying math can significantly enhance programming skills and facilitate career advancement, especially for those transitioning to fields like data science. The discussion highlights the importance of mastering foundational concepts in calculus, linear algebra, and statistics, as these are often prerequisites for advanced degrees. Resources like Khan Academy and various textbooks are recommended for diverse explanations of mathematical concepts, which can aid understanding. Community college courses are also suggested as a cost-effective way to maintain accountability while learning. Overall, with dedication and the right resources, self-study in math is achievable and beneficial for career growth.
laviedevote
Messages
2
Reaction score
0
So, I graduated a few years ago with a liberal arts degree and I'm currently working as a programmer. Although I'm pretty good with the practical application of computer programming, my math is horrendously bad. Now that I'm wanting to go back to school, obtain an advanced degree, and change fields, I'm finding my lack of math knowledge to be a real stumbling block to my professional development.

When I say my math is horrendously bad, I mean shocklingly bad. I can pretty much do just basic algebra (think pre Algebra+1) and that's it. It's not that I was incapable of learning math, it's just that I goofed off in the classes and never learned the concepts. Since math is a field which functions using building blocks of increasingly abstract concepts, that really killed me. The only way I passed math in high school was because the tests were multiple choice and I was clever enough to work backward with each of the solutions.

I'd like to cover the math that's usually covered in an undergraduate CS program, which generally includes Calc I, II, III, linear algebra, differential equations, probability and statics, etc...

I know it's a tall order and I have a loooooong way to go, but does anyone have some advice?
 
Mathematics news on Phys.org
That's a lot of material if you consider yourself behind to begin with, but with all the material available online and elsewhere there's no reason not to try self study. Those courses in particular are pretty straightforward, in the sense that you'll basically have to learn and practice a list of concepts in order.

People tend to like khan academy. I'm not into the style, but most people are, and at worst it's like having a teacher you don't really like. If you covered the material on there, alongside textbooks (look up whatever university you attended/plan on attending's course syllabuses for good ones), that would get you pretty far. Biggest thing for me and self study in math is, when I don't understand something I read, to look at a different book's explanation. Especially with courses up to linear algebra, books tend to emphasize one perspective (like geometric, or analytic, or computational) more than others. Usually one explanation will be more intuitive to you, and also, really understanding something in math means understanding it from every perspective.

Hope that made sense. Not sure exactly what kinda advice you're after.
 
Thanks, that made sense. I'm not sure exactly what topics I need to study as the field I want to move into (data science/analytics) is emerging and it seems like all of the schools I'm looking at have vastly different requirements. I'll check out Khan Academy.
 
laviedevote said:
Thanks, that made sense. I'm not sure exactly what topics I need to study as the field I want to move into (data science/analytics) is emerging and it seems like all of the schools I'm looking at have vastly different requirements. I'll check out Khan Academy.
As far as I understand, most people working in data science are mathematicians. But maybe I only know the mathematicians and there's a place for people in other areas. I have half a toe in some data science-y stuff, though, and have had to teach myself a lot that wasn't covered in an undergrad math degree. Either way, like you said most understand computer science majors are required to take at least up to linear algebra, so you might as well try that. That's definitely not impossible to teach yourself if you're interested in it. And you might've already considered this, but community college classes might be a good cheap way to keep yourself accountable for getting through the material. Data science is super rad, so good luck!
 
Suppose ,instead of the usual x,y coordinate system with an I basis vector along the x -axis and a corresponding j basis vector along the y-axis we instead have a different pair of basis vectors ,call them e and f along their respective axes. I have seen that this is an important subject in maths My question is what physical applications does such a model apply to? I am asking here because I have devoted quite a lot of time in the past to understanding convectors and the dual...
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...

Similar threads

Replies
16
Views
2K
Replies
2
Views
152
Replies
4
Views
222
Replies
1
Views
2K
Replies
102
Views
5K
Replies
8
Views
5K
Replies
28
Views
6K
Back
Top