beginnerdsa
Data Structures & Algorithms
Master the fundamental building blocks of computer science. This comprehensive course takes you from basic complexity analysis to advanced algorithms, with implementations in C, C++, and Java.
Course CompletionCalculated based on chapters where you have mastered all associated quizzes with a 100% score.
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Expertise PointsPoints earned by successfully completing chapters and demonstrating mastery through assessments.
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Curriculum Structure
01
Foundations and Complexity Analysis
Learn about Foundations and Complexity Analysis
02
Arrays and Basic Operations
Learn about Arrays and Basic Operations
03
Searching Algorithms
Learn about Searching Algorithms
04
Sorting Algorithms
Learn about Sorting Algorithms
05
Linked Lists
Learn about Linked Lists
06
Stacks
Learn about Stacks
07
Queues
Learn about Queues
08
Hashing - The Science of Digital Scrambling
Learn about Hashing - The Science of Digital Scrambling
09
Trees
Learn about Trees
10
Tree Traversals
Learn about Tree Traversals
11
Graphs
Learn about Graphs
12
Graph Traversals
Learn about Graph Traversals
13
Graph Algorithms (Dijkstra, Bellman-Ford, Prim's, Kruskal's)
Learn about Graph Algorithms (Dijkstra, Bellman-Ford, Prim's, Kruskal's)
14
Mathematical Algorithms (GCD, LCM, Prime Numbers)
Learn about Mathematical Algorithms (GCD, LCM, Prime Numbers)
15
Cryptographic Algorithms (RSA, Modular Arithmetic)
Learn about Cryptographic Algorithms (RSA, Modular Arithmetic)
16
Compression Algorithms (RLE, Huffman Coding)
Learn about Compression Algorithms (RLE, Huffman Coding)
17
Encoding Techniques (Base64, UTF-8, Hex)
Learn about Encoding Techniques (Base64, UTF-8, Hex)
18
Advanced Algorithms (Divide & Conquer, Greedy, DP, Backtracking)
Learn about Advanced Algorithms (Divide & Conquer, Greedy, DP, Backtracking)
19
Debugging and Optimization
Learn about Debugging and Optimization
20
Practical Projects
Learn about Practical Projects