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What about the other way around? I'm from an engineering background, going in the direction of data scientist. Sometimes I find that my math skills could be st

What about the other way around? I'm from an engineering background, going in the direction of data scientist. Sometimes I find that my math skills could be stronger, and I try to read up on things when I encounter them, but still it sometimes feels like there is an infinite amount to learn. Maybe I could use some more systematic approach to it. Anyone else who has walked this path, and could come with some useful advice/resources?

tmccrmck 10y ago
Are you talking about self-studying mathematics or going back into higher education? I can give recommendations on books for the former but not the latter.
- bsg75 10y ago
  Self study interest here.
- praveenster 10y ago
  Yes, I am also interested in going the self study route with MOOCs but there is way too much information and resources that it is hard to figure out how/where to start. It would definitely be helpful if you could provide recommendations on books.
digitalzombie 10y ago
I got a bachelor in CS and went industry for 6 years. I'm coming back for master in applied statistic for data science. Just take statistic, especially Multivariate for big data (big data for statisticians is huge predictors not petabyte of observations). Math people can do so much in data science. I think statistic is better for a non math person and it's much better suited for data. Since statistic is all about data.
sdenton4 10y ago
Stats and linear algebra are what you want... On the linear algebra front, you get some understanding from your first course, but the more you internalize it by meeting the ideas in different contexts, the more useful it will be. A decent amount of higher math is turning things into almost-linear problems, and then trying to sort out the parts which don't quite fit...
imcoconut 10y ago
There is certainly a lot out there. You don't necessarily need to forge you're own path from scratch though. For a general roadmap you can use what has been established as standard by a institution with significant experience in this area. They've put in the hard work over many years to figure out what's useful: https://math.mit.edu/academics/undergrad/major/course18c.php https://math.mit.edu/academics/undergrad/major/course18c.php Check out the syllabuses and self-study at your own pace

tmccrmck 10y ago

Are you talking about self-studying mathematics or going back into higher education? I can give recommendations on books for the former but not the latter.

bsg75 10y ago
Self study interest here.
praveenster 10y ago
Yes, I am also interested in going the self study route with MOOCs but there is way too much information and resources that it is hard to figure out how/where to start. It would definitely be helpful if you could provide recommendations on books.

digitalzombie 10y ago

I got a bachelor in CS and went industry for 6 years. I'm coming back for master in applied statistic for data science. Just take statistic, especially Multivariate for big data (big data for statisticians is huge predictors not petabyte of observations). Math people can do so much in data science. I think statistic is better for a non math person and it's much better suited for data. Since statistic is all about data.

sdenton4 10y ago

Stats and linear algebra are what you want... On the linear algebra front, you get some understanding from your first course, but the more you internalize it by meeting the ideas in different contexts, the more useful it will be. A decent amount of higher math is turning things into almost-linear problems, and then trying to sort out the parts which don't quite fit...

imcoconut 10y ago

There is certainly a lot out there. You don't necessarily need to forge you're own path from scratch though. For a general roadmap you can use what has been established as standard by a institution with significant experience in this area. They've put in the hard work over many years to figure out what's useful: https://math.mit.edu/academics/undergrad/major/course18c.php https://math.mit.edu/academics/undergrad/major/course18c.php Check out the syllabuses and self-study at your own pace