The DSA learning roadmap
Seven stages that take you from writing your first loop to walking into an onsite loop prepared. Follow the recommended order, or use it as a map to fill specific gaps.
Programming Foundations
In progressGet fluent in the Python and math every solution assumes: collections, functions, classes, recursion, logs, modulo, and bit operators.
Complexity Analysis
Up nextSpeak the language solutions are graded in — Big O/Ω/Θ, amortized analysis, recursion trees, and the Master Theorem — and map constraints to target complexity.
Basic Data Structures
Up nextMaster the linear structures and their trade-offs: arrays, strings, linked lists, stacks, queues, hashing, plus recursion, sorting, and searching.
Trees and Graphs
Up nextMove to hierarchical and networked data: tree traversals, BSTs, heaps, tries, and graph BFS/DFS.
Problem-Solving Patterns
Up nextLearn the reusable templates that recur across hundreds of problems, and how to recognize which one a prompt is asking for.
Advanced Algorithms
Up nextTackle the hardest interview material: backtracking, greedy, dynamic programming, bit manipulation, and weighted-graph algorithms.
Interview Preparation
Always openAssemble everything into an execution plan: 30/60/90-day schedules, company focus, timed mock interviews, and a revision dashboard.