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: • How To Learn Programming for Data Sci...
For learning Math: • Math Needed for Mastering Data Science
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: • How to Stay Productive & Motivated Wh...
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: • The Projects You Should Do To Get A D...
Where to start: • Where YOU Should Start With Data Scie...
Beginner Projects: • 3 Proven Data Science Projects for Be...
Project Example: • Data Science Project Example Start to...
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 immediate feedback from error messages. I also recommend reaching out to your friends who are data scientists or people in your network to get feedback on your projects. I also am happy to give resume or project feedback, but please watch all my relevant videos first.
Playlist: • Data Science Portfolio and Resume (Wa...
Principle 9: Exploration - You need to keep learning because data science is constantly changing.
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