Putting your work on GitHub probably is the best decision you can make to build your portfolio.

But what makes a good project stand out?

A good README.

Here are 4 ways to make a good README: 🧵 1. Organization: table of contents

Structure your README.

It should be like a book.

The user should be able to easily know where to find anything.

This makes the project engaging.

Human-Activity has a beautiful table of contents.

github.com/ma-shamshiri/H…

I'm a mentor and project reviewer at Udacity for Data Analytics.

I've guided hundreds of students in completing their course.

When they get stuck and come for help, here is the 3 step method I tell them to use to move forward: 📝 🧵 1. #Python/Pandas/API documentation 📝

Go straight to the source.

Python/Pandas is well organized so you can find the source of the problem.

Try to trace your problem and use the documentation for the function/method issue.

docs.python.org/3/

Everyone has a different journey.

To get into the #Datascience role that I am in, I wanted to share the courses I took.

Some free, some not.

Here is how I mapped my journey 🧵 1/7 Some of the skills I realized that I needed:

- Math ✅
- Software Development ✅
- Courses on Data Analytics and Data Science ✅