Recent submissions

Comment · 8 years ago
There was Data Analytics Career Fair at Harvard, which is another advantage of being a student here. You get invited to the career fairs.
Comment · 8 years ago
if you follow the above link, you'll see that you could join the Harvard health plan, even as a family. If you had your own, your could opt out. You can't be a 3/4 or above time student without health care coverage in MA. It's the law.
Comment · 8 years ago
Comment · 8 years ago
I think that's true for the technical portion, or more precisely someone who has recently refreshed their knowledge in college junior level algorithms and data structures. (equivalent of Harvard CS121 at minimum, ideally CS124).
Comment · 8 years ago
Comment · 8 years ago
Comment · 8 years ago
Also, I got rejected twice (!) at Microsoft and didn't even get an interview at Amazon, so I can sympathize with "GoogleyAsHeck." Clearly hiring is a very noisy process with a lot of randomness. A lot of it is beyond your control no matter how much preparation is done.
Comment · 8 years ago
It took three years. As I mentioned elsewhere, I tested out of a semester of work. Unlike undergrads, I was used to working year round, so I took January term and summer classes to reduce elapsed time.

While some remote students have been able to build quality relationships with professors, it is far easier if you are local.

Comment · 8 years ago
I'm trying to stay anonymous and am concerned I may have already revealed too much. Let's just say it is a technical role that involves coding and leave it at that.
Comment · 8 years ago
I was fortunate enough to be in a situation where I could pursue it full time. I started part time, really liked it, and decided to complete it full time.
Comment · 8 years ago
Comment · 8 years ago
I didn't have any prior degree so I couldn't go straight to masters. Not even any transfer credits. But I was able to test out (via CLEP) for the equivalent of 4 classes including the language requirement, which saved me a semester.
Comment · 8 years ago
I had studied a lot of ML but all the technical questions were focused on traditional algorithms, so this was still a little retro. The math requirement was minimal but I had more than enough from the ML coursework.

Bamberg's Math 23a / 23c is phenomenal set of classes at Harvard. You will work like a dog but learn almost all the math you need for ML.

Comment · 8 years ago
Comment · 8 years ago
>You feel it was worth the cost?

Harvard Extension is a bargain compared to most colleges. $1500-$2500 for most 4 credit classes. Don't tell those smart college students that you are getting the same class for less than half the price. I tried the online thing (Coursera, edX, Udemy, etc.) but was never as motivated as competing against real students in a real class with deadlines that have consequences. Fear of failure is a great motivator :)

> Did you do all classes online or did you go in person for some / all?

It was a mix. The online classes were more time efficient. The person classes built rewarding personal relationships with faculty and older students.

> Did you work in technology previously?

Yes, was primarily self taught. Only had access to a lousy community college in my teens. Turned me off school then.

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