Data Structure Algorithm with Python Course in chennai

Module 1: Introduction to DSA and Python

• Introduction to Data Structures and Algorithms
• Importance of DSA in software development
• Applications of DSA in real-world projects
• Why Python is preferred for DSA learning
• Installing Python and setting up the development environment
• Writing and running your first Python program
• Understanding Time Complexity and Space Complexity
• Introduction to Big O Notation

Module 2: Python Fundamentals for DSA

• Python syntax and coding basics
• Variables and data types
• Input and output operations
• Operators in Python
• Conditional statements
• Loops and iterations
• Functions and reusable code
• Introduction to recursion

Module 3: Arrays and Strings

• Understanding arrays and lists in Python
• Array traversal techniques
• Insertion and deletion operations
• Searching elements in arrays
• String manipulation techniques
• String methods and operations
• Solving array-based coding problems
• Interview questions on arrays and strings

Module 4: Searching and Sorting Algorithms

• Linear Search Algorithm
• Binary Search Algorithm
• Bubble Sort Technique
• Selection Sort Algorithm
• Insertion Sort Method
• Merge Sort Algorithm
• Quick Sort Technique
• Comparison of sorting algorithms
• Time complexity analysis

Module 5: Recursion and Backtracking

• Understanding recursive functions
• Recursive problem-solving methods
• Advantages of recursion
• Backtracking fundamentals
• Solving permutation and combination problems
• N-Queens problem
• Sudoku solver implementation
• Recursive interview problems

Module 6: Linked Lists

• Introduction to linked lists
• Singly linked list operations
• Doubly linked list concepts
• Circular linked list implementation
• Insertion and deletion in linked lists
• Traversing linked lists
• Reversing linked lists
• Applications of linked lists

Module 7: Stacks and Queues

• Introduction to stacks
• Stack implementation using Python
• Queue implementation techniques
• Circular queue concepts
• Priority queue basics
• Stack applications
• Queue applications
• Expression evaluation problems
• Balanced parentheses problems

Module 8: Hashing and Dictionaries

• Introduction to hashing concepts
• Hash tables and dictionaries in Python
• Collision handling techniques
• Sets and hash maps
• Frequency counting problems
• Hashing-based coding challenges
• Real-time applications of hashing

Module 9: Trees and Binary Search Trees

• Introduction to tree data structures
• Binary tree concepts
• Binary Search Tree implementation
• Tree traversal methods
  • Inorder traversal
  • Preorder traversal
  • Postorder traversal
• Level order traversal
• Heap data structure
• Priority queues using heaps

Module 10: Graphs and Traversal Algorithms

• Introduction to graph data structures
• Graph representations
• Breadth First Search (BFS)
• Depth First Search (DFS)
• Shortest path algorithms
• Topological sorting
• Minimum spanning tree concepts
• Real-world graph applications

Module 11: Advanced Algorithms

• Greedy algorithms
• Divide and conquer techniques
• Dynamic programming basics
• Sliding window technique
• Two-pointer algorithm
• Bit manipulation concepts
• Optimization techniques
• Advanced problem-solving strategies

Module 12: Coding Interview Preparation

• Problem-solving approaches
• Coding interview techniques
• Competitive programming basics
• Mock coding interviews
• Solving real-time interview questions
• Resume preparation guidance
• GitHub profile optimization
• Coding platform practice sessions

Experience in the Industry Gain knowledge from experts with practical Data Structure Algorithm with Python project experience in a variety of sectors.

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Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.