How to ULTRALEARN Data Science

In this video I talk about how to ultralearn data science. This learning philosophy is based off of Scott Young's book ultralearning (linked below). Scott used this approach to learn the entire undergrad MIT Computer Science curriculum in a single year (and pass all the exams). Ultralearning has 9 principles and I show you how you can apply many of them to data science. Ultralearning Book: https://amzn.to/33LTvYf *This is an amazon affiliate link. The couple cents I get from your purchase go to paying off my student loans, so buying is greatly appreciated! This is at no cost to you! Principle 1: Metalearning - Plan your learning journey. Think about your data science goal and create a roadmap to get here. This should take up to 10% of your total learning time. If you want to become a data scientist, you need to learn programming and math. Figure out exactly what concepts you need to know from each disciplines. For learning Coding: https://www.youtube.com/watch?v=VN12ZPFsApM For learning Math: https://www.youtube.com/watch?v=zSwM5uVeylU Principle 2: Focus - To stick to your data science learning plan, you should train yourself to focus. This is a learned skill. You should pay careful attention to your environment and schedule your time wisely. Video on data science focus: https://www.youtube.com/watch?v=akbU9KOo_Qc Principle 3: Directness - This is my favorite one. If you want to learn data science, you should do data science. You will quickly find out where you are weakest. You should then work on these things. Video on projects for your portfolio: https://www.youtube.com/watch?v=yukdXV9LR48 Where to start: https://www.youtube.com/watch?v=sq5TnVJWv6A Beginner Projects: https://www.youtube.com/watch?v=8igH8qZafpo Project Example: https://www.youtube.com/watch?v=vy-R4oUZaC8 Principle 4: Like Principle 5: Subscribe Principle 6: Feedback - to maximize your data science performance, you need to focus on feedback loops. Programming is great because you have im