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Data Structure
Writing efficient and well-organized code is critical for addressing complex real-world challenges. Key strategies include breaking problems into subproblems, using appropriate data structures, and following best practices for optimization. The importance of maintainability, clarity, and scalability is emphasized to ensure code is easily understood and manageable by both oneself and others.
10 Chapters
24 weeks
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Course Chapters
Chapter 1
Understand the Fundamental Concepts and Importance of Data Structures
Chapter 2
Design and Implement Arrays, Linked Lists, Stacks, and Queues
Chapter 3
Analyze and Implement Various Tree Structures, Including Binary Trees and Balanced Trees
Chapter 4
Model and Work with Graph Data Structures
Chapter 5
Apply Sorting and Searching Algorithms Efficiently
Chapter 6
Demonstrate Proficiency in Recursive Problem-Solving
Chapter 7
Understand the Principles of Dynamic Programming for Algorithmic Optimization
Chapter 8
Evaluate the Efficiency and Trade-offs of Different Data Structures and Algorithms
Chapter 9
Apply Data Structures and Algorithms to Solve Real-World Programming Challenges
Chapter 10