Keep exploring at [ Ссылка ]. Get started for free, and hurry—the first 200 people get 20% off an annual premium subscription.

Which math skills do I actually need in life? How much math do I need for business? How much math do I need to start a startup? What math skills do I need to work in finance, as a trader or quantitative analyst? How much math do I need to work in data science and machine learning? How good at math do I need to be to work as a scientist or researcher? These are all questions I address in this video!

▬ In this video ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
In part one of this video, I talk about which math skills from elementary school (grades 1-5) middle school (grades 6-8), and high school (grades 9-12) you need to know, regardless of what you want to do in your life. I give a few example problems to demonstrate the difference between "knowing" something about math skills, and actually "understanding" them. The point is: it's more important to be really good at applying some math skills than learning very advanced math skills which you don't really know how to use.

In part two of this video, I talk about college and university-level math. Instead of going through all the different courses, I talk about what is relevant if you want to go into one of the following careers:
- Business and Entrepreneurship
- Finance (Trading and quantitative analysis)
- Machine Learning and Data Science/data analytics
- Science and Research

▬ Follow me for more tips ▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Instagram: [ Ссылка ]
LinkedIn: [ Ссылка ]
TikTok: [ Ссылка ]

This video was sponsored by Brilliant

▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
0:00 - Intro
1:46 - Part 1: Grades 1 to 5 (elementary school)
2:29 - Grades 6 to 8 (middle school)
7:27 - Do you understand math intuitively? (example problem)
10:55 - Should I use a calculator?
12:08 - Grades 9 to 12 (high school)
16:22 - Part 2: University math
17:29 - Math for business and startups
19:45 - Math for finance (traders and quants)
21:13 - Math for machine learning and data science
23:14 - Math for scientists and researchers
24:05 - Brilliant.org sponsored mention

свернуть