We have free coursera at work. But I really hate it because it enforces random deadlines on you. Even though the courses are completely prerecorded and absolutely don't need any kind of deadlines. I just want to study at my own pace.
I’ve purchased many Udemy courses over the years. The subscription plan they’ve been pushing makes no sense financially. I hope I’m wrong but I worry that eventually being a subscriber will be the only thing they offer.
It's been a while since I took a Coursera course but I LOVED it at the beginning. Between Machine Learning, the (numerical) optimisation courses and NAND-To-Tetris (even for the platform alone) it had so many great courses to pick from.
I did Andrew Ng's old Machine Learning, Obarsky's Scala course, the Ng's Deep Learning specialization, Nand to Tetris part 1 and a small Data Science course which wasn't very good. I think my very first course was "Model Thinking" course, but I never took the exam there.
I also tried the sequel to the Scala course at one point, and the Cryptography course, but I dropped out from those after finding out they were a bit too hard - I spent way more time on the coursework than I'd intended.
But I can't say I like the direction it's taken in recent years.
Hopefully this doesn't change public libraries' access to Udemy.
We have free coursera at work. But I really hate it because it enforces random deadlines on you. Even though the courses are completely prerecorded and absolutely don't need any kind of deadlines. I just want to study at my own pace.
I also hate all the gamification.
I’ve purchased many Udemy courses over the years. The subscription plan they’ve been pushing makes no sense financially. I hope I’m wrong but I worry that eventually being a subscriber will be the only thing they offer.
Any courses you would particularly recommend? I always found that Udemy's vast catalogue made it hard to actually pick a course.
It's been a while since I took a Coursera course but I LOVED it at the beginning. Between Machine Learning, the (numerical) optimisation courses and NAND-To-Tetris (even for the platform alone) it had so many great courses to pick from.
I did Andrew Ng's old Machine Learning, Obarsky's Scala course, the Ng's Deep Learning specialization, Nand to Tetris part 1 and a small Data Science course which wasn't very good. I think my very first course was "Model Thinking" course, but I never took the exam there.
I also tried the sequel to the Scala course at one point, and the Cryptography course, but I dropped out from those after finding out they were a bit too hard - I spent way more time on the coursework than I'd intended.
But I can't say I like the direction it's taken in recent years.
Odersky ;)
"Model Thinking" was great!
And I really liked the gamification course by Kevin Werbach (The topic was still hot back then) - something I used extensively at my start up.
Whoops, Obarsky was the Amiga synth guy, yeah, I haven't taken any courses with him. Although I might consider it.
I'll have to look at the Scala course, thanks!
Meh. I would've been more bothered back in the day when Coursera was a treasure trove of high quality courses, but it went downhill.
So to add Udemy's infinite catalogue of poorly structured courses, it only adds to the decline
Blackrock buys more of the world.. cool story.
The pillaging will continue until quarterly earnings improve