Courses · Practice · Projects

The grind is broken; grow deep roots and lasting skills.

Prepare for technical interviews with guided courses and practice. Build AI and machine learning skills with real-world projects.

Choose your career path

Pick a goal and follow the courses, practice, and projects in order.

Start with a course, or apply your skills in a project.

Progressive data structures and algorithms for technical interviews.

Python, probability, modeling, experimentation, AI, and reinforcement learning.

Learn SQL through step-by-step examples, with pandas comparisons.

Build AI and machine learning skills by exploring messy, realistic data and solving real-world problems.

Build the foundations, then combine them to solve more advanced problems.

Selected topics. Step heights illustrate learning order, not measured difficulty or performance.

Learn · practise · build

Move from a clear explanation to focused practice, then apply the same idea in a realistic setting.

LearnHash Tables and SetsPracticeContains Duplicate

You are given an integer array nums. Return true if any value appears more than once.

def contains_duplicate(nums):

seen = set()

for num in nums:

if num in seen:

return True

seen.add(num)

return False

✓ 3 / 3 tests passed

Example progress

Like the baobab tree, lasting skill grows from the roots up—master the fundamentals first, and every harder topic has something to hold onto.

Independent problem solvingReusable patternsStrong fundamentals

Every new branch is supported by what you learned before.

Learn one idea, practice it, then build on it. The baobab represents that progression: roots, trunk, and branches.

Root
Build the foundations
Start with the essential ideas in your chosen course.
Trunk
Strengthen reusable patterns
Ideas you can recognize and reproduce under pressure.
Branch
Solve what you have not seen
Progressive problems turn understanding into independence.