Best Plan to Get Started

This is a beginner friendly plan to get started with probability & applications. The one course we recommend to do is below, its content is free to view. It will give you a taste of what probability applications are, in particular Machine Learning or Finance. All in simple words. It is more like a blog with videos rather than mathematically deep introduction, though there will be maths as well. Of course.

Key words: real-world applications, high-level overview, beginners friendly. Not too mathsy.

Extra: Lunch Videos

Besides doing or reading through the course above, there are videos related to the subject that we recommend you to watch. E.g when you have a break for food, hence the name :) They are not a part of our main curriculum, and most of them are not even related to Quanta. It is just you may find them

**Power of probability: where and hows, part I**. Unlike the course above, this high level overview of probability applications is more mathsy. Still beginner friendly though.

**How We’re Fooled By Statistics. **In particular, about lack of scientific support for the benefits of the punishment method in education.

**The Trillion Dollar Equation**. Guess what is it related to? Finance! Guess what it relies on? Probability theory!

**Bayes theorem, the geometry of changing beliefs**. Gentle and somewhat mathematical introduction to Bayes' theorem, one of the key formulas in the whole of probability.

**Binomial distributions | Probabilities of probabilities, part 1**. This one is around the maths around correctly ranking a product. Knowing what is "n choose k" is useful.

**What is Random**. Somewhat philosophical video about the "randomness". Very beginner-friendly.

Next Steps

If you have gone through the course above and, maybe, a bunch of the videos, the next step is to get down to doing something more mathematical. Especially if you are now additionally motivated 💪🏼