Thanks for the comment! I was familiar with the three major roles but have no coding knowledge outside of HTML and CSS. So I guess I'll follow these steps: Python -> Lin Algebra -> Follow your substack in order?
Python/R -> Lin Alg -> Statistics -> Understanding Linear Regression.
At this point, you will have the skillset to apply for basic Data analytics jobs.
Look at the Resume section, and start applying like a machine gun.
The first jobbo is always the hardest, once you have that foot in the door, you can pivot into whatever direction you like. Some industries are super big on linear algebra (dimensionality reduction), some are super big on regression analysis with high levels stats (healthcare/research), etc....
This substack is here to help you build the core knowledge, and then act as a database on all the different topics/tools in the industry since it is super big.
Hey! I’m new to this substack with an interest in data science.
Do you have a post showing a general roadmap to breaking into Data Science?
Or just follow the order of your posts from least to most recent?
Depends on your starting point. If you are completely new, and don't know the difference between the 3 major roles: https://bowtiedraptor.substack.com/p/the-3-fields-in-data-science
If you are completely new to coding: https://bowtiedraptor.substack.com/p/coding1-setting-up-python-r-and-your
If you already know how to code in R/Python, but don't know any lin algebra: https://bowtiedraptor.substack.com/p/linear-algebra-1-vectors
If you already have your knowledge for: Stats, Lin Alg, Programming ready to go, but just need some help with your resume: https://bowtiedraptor.substack.com/p/misc2-refining-your-resume?s=w
Let me know if you need more help.
Thanks for the comment! I was familiar with the three major roles but have no coding knowledge outside of HTML and CSS. So I guess I'll follow these steps: Python -> Lin Algebra -> Follow your substack in order?
In your case, here's what I'd do:
Python/R -> Lin Alg -> Statistics -> Understanding Linear Regression.
At this point, you will have the skillset to apply for basic Data analytics jobs.
Look at the Resume section, and start applying like a machine gun.
The first jobbo is always the hardest, once you have that foot in the door, you can pivot into whatever direction you like. Some industries are super big on linear algebra (dimensionality reduction), some are super big on regression analysis with high levels stats (healthcare/research), etc....
This substack is here to help you build the core knowledge, and then act as a database on all the different topics/tools in the industry since it is super big.
Thank you so much! That definitely helps clear things up.