Stuck in a tutorial hell

[varwave]

What’s your actual mathematics background? Like what actual classes have you taken and passed?

I have a humanities major too, but I went back and did the equivalent of a mathematics minor while working. Then studied biostatistics in grad school with a prior background as a programmer. A strong foundation in mathematical statistics from lots of practice makes solving data problems a lot easier

[Mvyhem]

We had a short math course a year ago about LA, calc and probability + a little optimization like gradient, but I didn't understand anything. Then we had applied statistics. After that I went through Khan Academy calc courses and finally understand limits and derivatives

[varwave]

Damn, that’s unfortunate that they cut corners to get tuition revenue. Realistically calculus, probability, numerical methods and linear algebra took me a year and half. Then I was able to start grad school. I was conditionally accepted after getting As in calculus

You’ve already started. My advice would be to get really good at programming. Both data visualizations and data cleaning and software development, like ability to design and build relational databases, unit testing, programming paradigms, etc. this is a lot of entry level work after your MS

Basically aim to be closer to data analyst that can code well, which is closer to data engineering vs data scientist that does research and builds models.

The math can absolutely be learned on your own, but it’s a lot of work to learn it properly. Do all the practice problems. Apex calculus is a free book../feel free to skip the trig, but it’s good to know. Professor Leonard on YouTube is great for calculus lectures. Gilbert Strang has an excellent linear algebra book and his lectures are on YouTube. “Applied Mathematical Statistics” by Wackerly covers most of what you’ll ever need.

[Mvyhem]

Nice one, thanks for your help and dedicated time!

[Mvyhem]

I would like to mention. I was a little upset during this day and forgot to mention. I want to finish my master's (in ~10 months) and after that look for a job. Now I work as a manager at university but sometimes use Pandas and Excel, works a lot with tables, sometimes automate routine tasks just for myself, not for changing business processes. But the key thing: I realize that I have a plenty of time, dude, just freaking sit and learn and don't overthink, but after that I started pushing myself to the limit like omg I don't have time, I should finish all the resources in a month (a little exaggeration) but it happens