Massive online courses
durito
Senior Member
Changing the subject around here. Anyone out there taking any of these classes (coursera, edx, udacity) ??. Been doing a bunch the last year. Lots of good programming/statistics/machine learning classes that are necessary in sports betting.
Just started this http://online.stanford.edu/course/statistical-learning-winter-2014 this week if anyone wants to join.
Just started this http://online.stanford.edu/course/statistical-learning-winter-2014 this week if anyone wants to join.
Comments
No, it's all free.
wow, thank you very much for this. i greatly appreciate the link i was looking for something like this on the tedtalks site.
Wow, I thought that you were being sarcastic at first. This looks great. And here I thought that $20/year for Pomeroy's stuff was the best bargain out there...
Yea you can pretty much get a good college education for free. Not sure what the eventually business model of these places look like, they have attracted a ton of students (though only a small % actually finish classes), but eventually it will have to charge something. They are now offering verified certificates in some classes for like $50 where you have to verify your identity. There is a plan between Ga Tech and Udacity to offer an entire masters in Computer Science degree for only $5,000 starting next year I think, but you can do the classes for free still just won't get the degree.
Learn to program and ditch excel. It will be more work at first but you will be grateful in the end.
Thanks. Any suggestions from you guys on what programs are best for modeling in your opinion?
i would love to learn more about programming. at the risk of bothering you further, do you think this would be a good place to start?
http://online.stanford.edu/course/programming-methodology
is there something else that you would recommend? thank you again for passing this along.
Learn R.
I would learn Python and R. MIT's intro to programming is in Python, there is an edx version but only in the fall. You can do it all yourself basically at MIT open courseware http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011/
This course also gets good reviews though I know nothing about it: https://www.coursera.org/course/interactivepython looks like a session starting in March.
There are also a bunch of courses the use R, like the one I linked in the first post.
Thanks a bunch.
Don't know anything about it. Personally I did the MIT opencourseware in Python first a couple of years ago. The cs50 edx Harvard class I mentioned above is really good, but it may be a difficult one to start with. It starts off in C which you probably won't ever use again. My guess would be something like that Rice class I mention would be the best place to start as Python is much easier to pick up.
Most of these classes mirror exactly the class at the given university. So even the intro courses at places like Harvard/MIT can be very difficult. However, you can pick and chose what parts you want to do or not.
This would not be worthwhile; it is geared toward software engineers and object oriented programmers. Stick with stuff you can run on an interpreter- R is easiest to learn, and will do anything you want as far as statistical analysis. Just install R on your machine, google "Intro to R" and you'll find dozens of university lecture slides that will have you programming in minutes.
thank you BR, i have no idea where to start as you can see so this is very helpful. i wish i could provide something of value back to you/durito/others as well.
I have "models" for everything. Some really good. Some need work/data/backtesting. I need to automate things soon or it's going to be time to pull the plug. As I can't rationalize the amount of time I'm spending just updating rankings.
I will contact you.
ebe- I'd love to work together on some international bball stuff if you're interested. Let me know.
lol what. C# been around a lot longer than Python. If anything people are moving in the other direction.