PixoQuest
Interactive lessons and quizzes across many subjects.
Data Structures & Algorithms is the foundation of computer science and the most common technical-interview filter for software engineering roles. This course takes you from zero through the core structures — arrays, strings, linked lists, stacks, queues, hash tables, trees, and graphs — and the algorithms that operate on them: complexity analysis, sorting, searching, and the problem-solving patterns interviewers actually ask about.
Instead of long video lectures, every topic is taught through short, interactive quiz challenges. You answer questions in mini-games — popping the correct bubble, matching pairs, sorting items — which forces active recall rather than passive watching. Retrieval practice beats re-reading for long-term retention, and this course is built around exactly that principle.
Each chapter ends with a review that mixes earlier topics, and every algorithm comes with a clear Big O breakdown, so you understand not just what works but why it scales. By the end you will be comfortable reading code, predicting output, and choosing the right data structure for a given constraint.
This course is for beginners with no prior computer science background and for self-taught developers preparing for technical interviews. You do not need to write code to start — every concept is explained with examples you can reason about, and the quiz explanations teach the 'why' behind each answer.
Overview of DSA, importance, and real-world applications.
Big O notation, time and space complexity, and analyzing algorithms.
Fundamental linear data structures, operations, and common problems.
Singly, doubly, and circular linked lists with insertion, deletion, and traversal.
LIFO and FIFO structures, implementations, and applications.
Binary trees, BST, graph representations, BFS, DFS, and traversal techniques.
Hashing principles, collision resolution, and efficient lookup problems.
Insertion, merge, quick, heap sort, and analysis of sorting techniques.
Linear, binary search, and advanced search in trees and graphs.
Dynamic programming, greedy algorithms, backtracking, and interview patterns.
No. The course teaches concepts with plain-language explanations and code snippets you read and predict. If you already code in any language — Python, JavaScript, Java, or C++ — you will get even more out of it.
About 10–15 hours of focused play, or roughly 30–40 minutes a day over three to four weeks. Every chapter has a time estimate and your progress saves automatically.
It covers the fundamentals interviewers test most: complexity analysis, arrays, linked lists, stacks, queues, trees, graphs, hashing, and sorting. Pair it with the community's interview-prep articles for timed practice.
Yes. Every course on PixoQuest is free to start — sign in with Google and play the first chapters with no payment.
Sign in to start learning and track your progress through this course with XP, streaks, and interactive quizzes.