Keentune
Adaptive skill practice — find your level, get sharper.

Data Structures & Algorithms practice

The interview canon, from Big-O to DP
Master the algorithms-and-data-structures canon senior interviews are built on — complexity analysis (Big-O), the core structures and their operation costs, sorting and searching, graph traversal and shortest paths, and dynamic programming. Concept-first questions with clear explanations that build the judgment to pick the right tool and analyze its cost. Part of the Developer track.
• Meets you at your level — never too easy, never too hard.
• Adapts every question to how you’re doing.
• Tracks your level over time. Skill practice, not a test.
New here? Read the Data Structures & Algorithms guide
A free 17-minute primer — the mental model, the mistakes beginners make, and what to practise first.
Curriculum
217 concepts across 25 chapters, from foundations through advanced practice — each one a concept the adaptive question bank can teach and test.
A. The programming model: arrays, loops and recursion
8
B. Bags, stacks, queues and linked lists
9
C. Analysis of algorithms and asymptotics
9
D. Amortized cost and cost models
7
E. Union-find and dynamic connectivity
7
F. Elementary sorts
8
G. Mergesort and divide and conquer
9
H. Quicksort, randomization and selection
8
I. Priority queues and heaps
9
J. Sorting applications, stability and lower bounds
8
K. Symbol tables and searching
8
L. Binary search trees
9
M. Balanced search trees and B-trees
8
N. Hash tables
11
O. Undirected graphs: representation and search
11
P. Directed graphs, topological order and cycles
8
Q. Minimum spanning trees
8
R. Shortest paths
9
S. Tries and string search
9
T. Recursion, memoization and dynamic programming
12
U. Greedy algorithms and paradigm choice
8
V. Array techniques and range queries
9
W. Bit manipulation
8
X. Standard-library container complexity
8
Y. Reductions, intractability and randomized algorithms
9
View the full curriculum →
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