My life got a lot better when I just committed to doing certain things every day (yoga and making my bed, for instance). So I just added "study" to those things.
Another pro tip-- have kids when you're 23... I'm 40 and now they are mostly grown so I have a lot of free time LOL An hour of yoga a day is a lot less of a commitment than it would have been when I was 28, had two small kids, and was in grad school.
That's a joke, but the kernel of truth in it is: you don't have to learn everything now. With luck you will live to be 70+ years old and so the benefit of even 15-20 a day of study really adds up over several decades.
I was doing the "mission" style where they give you almost random tasks, and then you do mastery challenges... I feel like that got me a good into understanding a bunch of trig, matrix, and vector things that I hadn't understood before.
However, I just wrapped up my precalc with that and decided to move on because the last couple of topics were boring and they kept sending me mastery challenges of tedious stuff.
So for the calc I switched from the missions style to the lesson style because it feels more directed and "completist", and I've just been doing lectures and exercises. In the last couple of days I've gotten about half way through the material on limits.
When I finish the calc, then I will do the statistics, and the multivariate calculus. At that point, I think that I will be ready to move into college level classes online for linear and whatever else I think I want.
My larger interests are on one hand machine learning and AI and on the other hand, audio electronics for music... my math skills have held me back in electronics and I feel like if I am going to find anything useful in applying
Simple but powerful response, btw.
Ever since then, I've targeted my educational investments in a way that points me towards the sorts of options that I want to have.
This "gimme options" perspective also helps keep you going when learning sucks, because not having the kinds of options you want sucks more. Having some experience living with limited options can really drive home the fear that serves to get you into the mood to keep learning.
Instead of coming from a place of scarcity I'd view it from a place of plenty.
"gimmie options" -> Talent Stack
The more wide and experienced your Talent Stack is, the 'luckier' you'll become in life.
I'm in the middle of completely reviewing some fundamental math concepts: linear algebra, calculus, etc. Once I found the resources that I wanted to use I set out an order of execution and use a Podomoro to track my time. I'm doing everything I can to get at least one full Podomoro (1hr 40m) of study per day. I don't have kids or much responsibilities outside of work so I'm able to find the time, but still find it difficult to not get caught up by everything around me.
At the end of the day it's a matter of imposing your will and intent on a specific goal.
- logging the things you do that matter to you (via a time tracker) is one thing I've found super useful
- committing to do the thing every day is much easier rather than once a week
If you cannot do that, have, at most 3 projects at a time.
No matter how small, finish first.
That is the whole secret. If you force yourself to do this, you might even start thinking ahead before you start new stuff. Or you might finish stuff faster because you want to get to the thing you really want and realize how rewarding it was to finish.
This probably sounds ambitious, but you can use the Pareto principle (get 80% of the value by spending 20% of the time) and do various optimizations such as taking care to choose the best learning resources.
I have a learn.md file in Dropbox. It contains several sections: math, statistics, machine learning, physics, chemistry, biology, economics, programming. Each section has a list of subfields, for example biology has "molecular biology of the cell" (that's a book) and "brain". Each section also has a "resources" list and a "topics" list, which contains little topics I'm curious about, for example the math sections has svd and wavelets. And there's also a "next" section containing the list of things I plan to learn next.
Having an overview/roadmap like this really helps with the anxiety about what to focus on next, it makes me feel organized.
I think carefully about what is worth working on, then write it at the top of a sticky note. A few words will do, something like "Create X MVP" for example. Also write down the start date. As you put in time, write it down in pen on the sticky note. Once you've written down a time don't adjust it later, don't worry about it, the goal isn't to have a 100% accurate time log.
Now that it's written down, you can't get out of it. The only way out is through. Work on it for 30 hours of dedicated work. It's long enough that you can get something done, but not so long that you'll waste your life if you choose the wrong thing.
I used to work on too many different projects, and I think it was because I would switch projects once I hit a small difficulty. It wasn't a conscious thing; your subconscious can come up with plenty of valid reasons you should switch to something that seems easier. That 30 hour timebox will force you to overcome some difficulties, no more running away to another project to avoid doing something hard. But, if you choose something that really is too hard, try for 30 hours, it's long enough, but not too long.
At the end, record what you worked on during that time. You might say "from October 1st to October 15th, I worked on X MVP, I struggled with Y, I learned Z". Think carefully about what is worth working on and choose the next thing. Maybe spend another 30 hours on the same thing. Maybe go back to something you were working on awhile ago.
Also if your hypothesis is that there are too many free resources, then you could try discrediting that by seeing if you focus better when you pay for learning some curiosity instead of trying to bootstrap the learning for free.
Most MOOCs I see are basically the equivalent of 2-4 textbook chapters worth of material and even that materials is watered down greatly.
If I am going to spend the time learning something, I want to learn it at a high-quality level, not at a basic introductory level.
The modern web sucks.
The items in list are just added, randomly. For example, Machine Learning with Python: from Linear Models to Deep Learning  course actullay starts on June 2019. It's not really 'launched'.
 - https://www.edx.org/course/machine-learning-with-python-from...
It can't save that much bandwidth to send just part of the story. Is it to measure user engagement?
But maybe ads are click based anyways?
I have also shared a lot of curated list of free resources, which you can find on my blog http://javarevisited.blogspot.com
People ask me how I was able to graduate so quickly and with no debt. All thanks to CLEP and AP exams.
So, to answer your question, the money spent to produce online (o) lectures is equal to campus (c) lectures—without taking into labor hours to upload and edit. Therefore, O + C = $T.
It is the same reason BBC restricts their content to UK only (for online services).
This reminds me of foreign aid, which the public perceives as being a large part of the U.S. federal budget, when it's less than 1%.
Yes, someone was paid a modest salary to put together these course materials. They were not free to create. In a university setting with just a few students per teacher and layers upon layers of supporting infrastructure, these courses are expensive to deliver. Possibly even more expensive than the objective worth of the material to the students.
No. We are on HN, where "does it scale?" is gospel. MOOCs scale wonderfully. Millions of people could learn Calculus or Accounting from the modest effort of a single talented teacher. With that level of scale you do not necessarily need to charge every person who takes the class and free can be a business model. We can't lock our basic professional knowledge up behind a paywall that only the rich can penetrate. In fact this is the perfect thing to spend tax dollars on, a public good with a massive potential ROI. There's a reason the govt still pays for libraries.
And before my optimism gets skewered, yes MOOCs don't seem to work for everyone, but surely they suit some people's learning styles better than textbooks which is really their only low-cost competition for most knowledge domains.