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Introduction to DSA: Understanding the importance of
data structures and algorithms.
Arrays & Linked Lists: Efficient storage and
manipulation of data.
Stacks & Queues: Implementation and real-world
applications.
Trees & Graphs: Traversal techniques and
problem-solving strategies.
Sorting & Searching Algorithms: Optimized methods for
organizing and retrieving data.
Dynamic Programming: Problem-solving approaches for
optimal solutions.
From Learning to Leading.
Mastering Data Structures & Algorithms: From Basics to Advanced
Master fundamental data structures and algorithms to improve problem-solving skills and coding efficiency.
What you'll learn
Gain proficiency in data structures and algorithms, essential for technical interviews and competitive programming.
This course is ideal for software developers, competitive programmers, and Interns preparing for coding interviews.
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Course Content
- Arrays and Linked Lists
- Stacks and Queues
- Hashing and Hash Tables
- Sorting and Searching Algorithms
- Recursion and Backtracking
- Graph Algorithms (BFS, DFS, Dijkstra's Algorithm)
- Dynamic Programming and Greedy Algorithms
- Trie and String Manipulation Algorithms
- Time and Space Complexity Analysis
Requirements
- Basic programming knowledge (C, Java, or Python)
- Understanding of mathematical logic
- Problem-solving mindset
Description
- Learn fundamental data structures and algorithms
- Enhance coding skills for technical interviews
- Implement efficient problem-solving strategies
- Prepare for competitive programming challenges
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