Wanting to get back into math but haven't really touched the subject in 10 years. What's the best/fastest way to relearn it?

I havent read your post but I almost PhD’ed in Mathematics.

Do you have a 10 x 6 foot chalk board or dry erase board?

If not and u are serious, get 1.

Math is all about reputition, repeat problems over and over, the concept will be memorized and learned.

You will recall the tricks.

You need a tool box (filled with math tricks).

Enjoy

"Math" is not about memory, it's about knowledge. If you had the knowledge, things would come to you instantly.

You don't seem to realize that Calc II is very, very basic math. For as much "potential" you had when you were younger, at 30 it's gone. But don't worry, if you want to pursue a PhD in "something quantitative", there's always exercise physiology.

Perhaps you can get back into the groove and troll LR at the same time...

There are oh-so-many threads here about "what can I run for a 5k based on this workout." Gather all of the data and practice with algorithms, postulates, hypothesis, quadratic functions and the like to determine an answer and post it up. You may not be correct but the experience will exercise your math skills. If you are correct you can become famous with your own Running Formula.

disclaimer: not an actuary

As a math professor, here's my advice if you are serious about learning something useful for quantitative studies. Make sure you know basic calculus and linear algebra very well. For linear algebra, you need to be able to explain to yourself everything you find in a standard good textbook, like Gilbert Strang's (which is aimed at engineering students, and should work for self study). For calculus nearly any book works .

To determinew whether you know what you should - You should be able to do essentially all the exercises without ever looking at the answers and you should know if you got them right. If you aren't sure about that, get another book and repeat.

These two subjects are foundational tools used in everything else.

You all should stop flaunting your white male math privilege!

Once you get familiar with Calc II again - and you still want to go deep into quantitative analysis - I would highly recommend working your way through A Transition to Advanced Mathematics by Douglas Smith, Maurice Eggen, and Richard St. Andre.

It's a small text, but it'll give you a really good idea where your aptitudes lie. Solid background on set theory, logic, groups and analysis.

Coach Cookie wrote:

"Math" is not about memory, it's about knowledge. If you had the knowledge, things would come to you instantly.

You don't seem to realize that Calc II is very, very basic math. For as much "potential" you had when you were younger, at 30 it's gone. But don't worry, if you want to pursue a PhD in "something quantitative", there's always exercise physiology.

Another math guy who can't read.

There are 3 kinds of people.....Those who are good at math and those who are not.

Nice Reading Comp Bruh wrote:

Coach Cookie wrote:

"Math" is not about memory, it's about knowledge. If you had the knowledge, things would come to you instantly.

You don't seem to realize that Calc II is very, very basic math. For as much "potential" you had when you were younger, at 30 it's gone. But don't worry, if you want to pursue a PhD in "something quantitative", there's always exercise physiology.

Another math guy who can't read.

Post demonstrates that he isn't a math guy, either.

a math guy wrote:

Nice Reading Comp Bruh wrote:

Another math guy who can't read.

Post demonstrates that he isn't a math guy, either.

Never claimed to be a math guy. Computational Physics type.

If you really want to make a great "come back" you can math tutor to improve your level first.

Look here,

https://www.ezymathtutoring.com.au/tutors/

you will find probably the best teachers and tutors. Most of them are teaching now in the colleges and universities, so you will be able to review all the program plus get something extra.

Kahn Academy - its a series of videos online with practice problems and what not. Topics are covered in 10-20 mins usually so you can move at your own pace. He covers everything up from basic math to jr or sr level college courses.

oke wrote:

If you're still interested in biology in some capacity, a great option would be statistics with focus on big data / bioinformatics. There is incredible need for these skills across industry and academia, especially in the -omics (genomics, transcriptomics, proteomics, etc.). If you go this route, focus on open coding languages like R / bash / perl / python, rather than canned or proprietary programs (Matlab / Mathematica / SAS).

I would personally say learn R first if you're interested in learning stats. There are a tons of books out there -- find one focused on learning stats with R, rather than just learning R (which will mostly be data/object manipulation rather than math).

Hmm. Yes and no on this post here.

You are correct that bioinformatics is a branch of biotechnology that uses data programs to store all of the different proteins. However, the computer does everything past your input. And all you must do in the future is locate it. Not much math there.

If you want something that actually uses any type of math skills, there's only 2 jobs for you...

Accountant or architect.

Accountant would be more algebra.

Architect would be more geometry.