For all the self-taught geeks out there, here is our content library with most of the learning materials we have produced throughout the years.
It makes sense to start learning by reading and watching videos about fundamentals and how things work.
Data Science and Machine Learning - 16 wks
Full-Stack Software Developer - 16w
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Curated list of small interactive and incremental exercises you can take to get better at any coding skill.
Curated section of projects to build while learning with simple instructions, videos, solutions, and more.
Guides on different topics related to the technologies that we teach in our courses
Social & live learning
The most efficient way to learn: Join a cohort with classmates just like you, live streams, impromptu coding sessions, live tutorials with real experts, and stay motivated.
Create a TODO list application that allows users to add and delete tasks.
Do not clone this repository because we are going to be using a different template.
This is the repository you need to open or clone:
👉 Please follow these steps on how to start a coding project.
💡 Important: Remember to save and upload your code to GitHub by creating a new repository, updating the remote (
git remote set-url origin <your new url>), and uploading the code to your new repository using the
push commands from the git terminal.
Do not go straight to the code, think first and have a viable strategy.
This and many other projects are built by students as part of the 4Geeks Academy Coding Bootcamp by Alejandro Sanchez and many other contributors. Find out more about our Full Stack Developer Course, and Data Science Bootcamp.