Practice DSA questions for interviews at FAANG companies like Google, Facebook, Apple & Amazon
InstructorInterview Temple
Free
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These 4 complementary views highlight concrete, legible examples from the course presentation.
This visual aid demonstrates how to calculate trapped rainwater by identifying boundary heights and filling gaps in an array of elevation data.
This visual summary lists key algorithmic concepts and data structures such as heaps, stacks, queues, DFS, BFS, dynamic programming, backtracking, and sliding window techniques.
Screenshots of three five-star student reviews highlighting the instructor's clear explanations, valuable information, and engaging delivery style.
This visual metaphor illustrates the frustration often felt when tackling difficult coding interview problems for major tech companies like Google, Facebook, and Amazon.
Lessons typically follow a logical progression from problem introduction and brute force intuition to optimal implementation.
The curriculum spans essential topics including arrays, hash tables, linked lists, and trees.
Learner signals point to low audio volume, small font sizes for code, and varying depth in explanations for harder problems. Note that these signals originated in reviews predating the displayed update date; while an update is noted, it does not prove these issues were resolved.
One sampled review suggests that while foundational topics are covered, some signals suggest a lack of depth in space-time complexity analysis for advanced problems. Note that these signals originated in reviews predating the displayed update date; while an update is noted, it does not prove these issues were resolved.
The content aligns with interview preparation goals, though it may not satisfy those seeking highly advanced competitive programming.