Advanced8-10 hours

Preview: Data Structures & Algorithms: Advanced

The harder algorithmic techniques — heaps, intervals, backtracking, dynamic programming, and greedy — plus a capstone on decomposing and solving genuinely hard problems under real constraints.

What You'll Learn

Use heaps for top-K, merge-K, and running-median problems

Sweep and merge intervals cleanly

Structure backtracking for permutations, subsets, and search

Build dynamic-programming solutions from 1D to 2D to interval DP

Know when greedy is provably correct — and when it quietly fails

Approach an unfamiliar hard problem with a repeatable, systematic method

Course Modules

1hands-on75 minutes

Heaps & Priority Queues

Top-K, merge-K, and running median with heapq

2hands-on60 minutes

Intervals

Merge, insert, and count overlaps with the sort-then-sweep pattern

3hands-on90 minutes

Recursion & Backtracking

Permutations, combinations, subsets, and word search without losing the thread

4hands-on120 minutes

Dynamic Programming

The most-feared topic, made approachable: 1D to 2D to interval DP, with cache-powered memoization

5hands-on60 minutes

Greedy Algorithms

Interval scheduling and jump-game patterns — and how to tell when greedy is actually correct

6project75 minutes

Solving Hard Problems Under Constraints

A repeatable method for unfamiliar problems: decompose the unknown, time-box exploration, reason from examples, and debug under pressure

Ready to Start Learning?

Join this learning path and master data structures & algorithms: advanced with hands-on projects and real-world examples.