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
Search from all Lessons
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.
Follow the instructions below:
Once you have finished solving the exercises, be sure to commit your changes, push to your repository and go to 4Geeks.com to upload the repository link.
Once you start working on the project, you will see a
./notebook/problems.ipynb file containing a list of exercises. Complete each of them, one by one.
Note: We also incorporated a
./notebook/solutions.ipynb file that we strongly suggest you only use if you are stuck for more than 30min or if you have already finished and want to compare it with your approach.