Tech Interview 101 : DSA to System Design for Working Professionals - Live

Algorithms and Data Structures:

• Time and space complexity analysis.
• Arrays, linked lists, stacks, queues.

Key Techniques and Applications:

• Sorting and searching algorithms.
• Binary trees, binary search trees, and basic traversals.
  

Advanced Data Structures and Algorithms:

• Greedy algorithms 
• Heap data structure, heap sort, and priority queues.

Graphs and Advanced Algorithms:

• Graph representations and traversal (BFS, DFS)
• Implementing MST (Prim's, Kruskal's) and SSSP (Dijkstra, Bellman-Ford).
  

Advanced Algorithms:

• Advanced graph algorithms (e.g., Dijkstra, Floyd-Warshall).
• Divide and Conquer strategies.
• Dynamic Programming (Memoization, Tabulation).
  

Advanced Data Structures:

• Advanced trees (AVL, Red-Black).
• Advanced hashing and collision resolution.
• Advanced searching techniques (Interpolation, Exponential).

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OOP Fundamentals:

• OOP principles: classes, objects, encapsulation, inheritance, and polymorphism.
• Advanced OOP concepts: operator overloading, association, and composition.

Design Principles & Patterns:

• SOLID principles and key design patterns: Strategy, Observer, Factory, Singleton, and more.