|
Do you have programming experience in some other language? If so, you can pick up enough Python to be useful pretty quickly. If not, it'll take longer.
|
#
¿
Oct 3, 2017 14:32
|
|
|
|
| # ¿ May 22, 2024 13:27 |
|
|
There's some discussion in the data science thread. That has a larger audience than this thread does, so it might be a better place to ask for recommendations.
|
|
#
¿
Oct 4, 2017 04:13
|
|
|
The books in question. I don't think that's a great arrangement for someone who's just starting out or for someone who knows a lot and wants to make the jump to being an expert, but if you fall somewhere in between, throw down $15 and see how it goes.
|
|
#
¿
Mar 14, 2018 00:18
|
|
|
TraderStav posted:Anyone want to weigh in on this? Not having a strong maths background myself I would like to know. The thing is that there's a lot of room in what gets counted as a "data scientist" position. One end, you have people who are essentially researchers, and they have to know the theory in order to be able to engage with and advance the literature. On the other hand, you have BI folks who've been the beneficiaries of title inflation, and don't really need any serious understanding of anything beyond their industry. I think that at this point, most of the open positions are towards the latter end of the spectrum, but maybe not all the way there. On the other hand, the jobs towards the former end tend to pay a bit better. I think it's fine to break in without knowing too much math, but that you are going to be limited in what you can do at some point unless you pick that up somehow. That said, I'm very much on the research-ish side of things, so my perspective may be skewed.
|
|
#
¿
Sep 6, 2018 00:50
|
|
|
My general advice for people who are looking to pick a major is to double up in stats and CS, and then do a master's in whichever of those you like better. You can do other things, but that's the easiest route into the career, so I think you need reason to do those other things. I'm not a fan of any data science master's programs I've seen. I think they're mostly a cash cow for the university that offers them. foutre posted:Finally, am I correct in thinking that not having a MA/quantitative degree will eventually be an issue? So far my internships/jobs have been with organizations that have very few people with quantitative skills, so my willingness to spend a lot of time on StackOverflow and ability to use R has been sufficient to let me do interesting work, but I've had a lot more trouble getting proper analyst positions. It probably will be. I don't have the exact numbers, but from the last BurtchWorks report I think something like 45% of data scientists have a PhD, 50% have a master's but no PhD, 5% have only a bachelor's, and the people who don't have any degree are rounding error. I would expect the percentage of people without a PhD will go up over time, but most of those positions will go to master's holders.
|
|
#
¿
Sep 13, 2018 23:54
|
|
|
Being a fresh graduate counts for a lot in a market like this.
|
|
#
¿
Dec 1, 2018 17:13
|
|
|
The average quality of life at tech companies is much higher than at financial companies.
|
|
#
¿
Dec 22, 2018 01:05
|
|
|
Every nontrivial piece of software has a database, and SQL is the interface for the vast majority of them.
|
|
#
¿
Jan 6, 2019 16:55
|
|
|
Anyone looking to break into data science right now should read Data science is different now. It's not a happy read, but it's full of things you need to hear.quote:Since 2012, the data science industry has moved extremely quickly. It’s gone through almost every stage in the Gartner hype cycle. We’ve been through the early adoption phase, the negative press around AI and bias, the second and third rounds of venture capital for companies like Facebook, and are now at the point of high-growth adoption: where banks, healthcare companies, and other Fortune 100 companies that move five years behind the market are also hiring for data science in machine learning.
|
|
#
¿
Feb 17, 2019 17:20
|
|
|
|
| # ¿ May 22, 2024 13:27 |
|
|
At some point someone is going to ask you why the model isn't working right. There are limits on how well you can answer that question if you don't know at least a little bit of the math.
|
|
#
¿
Aug 6, 2019 23:52
|
|