Data Structure Algorithms - DSA

About Course

30-Day DSA with Java

This comprehensive program transforms beginners into confident problem-solvers through structured learning, continuous practice, and personalized feedback. Each component is designed to build upon the previous, creating a solid foundation for your technical career.

What Will You Learn?

Doubt Clearing Sessions - Dedicated I-on-I time every weekend to address difficult topics and clarify complex concepts with personalized attention
Interview Preparation - Real-time feedback on logic, code quality, ommunication skills, and problem-solving approach

Material Includes

📘 LMS Classes (recorded + live sessions)
📜 2 Certificates (Training + Internship)
🖥 Industry Projects
📝 Assignments & Practice Tasks

Course Curriculum

Week 1 – Fundamentals
Arrays, Searching, Sorting algorithms and complexity analysis

Days 1-2: Core Concepts

Days 3-5: Search & Sort

Week 2 – Linear Logic
Strings, Recursion, Sliding Window patterns and two-pointer techniques

String Manipulation

Sliding Window

Recursion & Backtracking

Week 3 – Advanced Structures
Linked Lists, Stacks, Queues and their practical applications

Linked Lists Mastery

Cycle Detection

Stack Implementation

Queue Operations

Week 4 – Non-Linear Logic
Trees, Heaps, Hashing and hierarchical data management

Binary Trees & BST

Hashing & Heaps

Week 5 – Optimization
Dynamic Programming and comprehensive final interview preparation

DP Foundations

Classical Problems

Full Revision

Final Assessment

Your Instructors

mojeshbondu1@gmail.com

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This course includes:

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Data Structure Algorithms – DSA

mojeshbondu1@gmail.com

December 27, 2025

About Course

What Will You Learn?

Material Includes

Course Curriculum

Week 1 – Fundamentals Arrays, Searching, Sorting algorithms and complexity analysis

Days 1-2: Core Concepts

Introduction to DSA and algorithmic thinking

Time and Space Complexity (Big O notation)

Understanding contiguous memory allocation

Days 3-5: Search & Sort

Linear vs. Binary Search techniques

Bubble Sort: Basic comparison- based sorting

Merge Sort: Divide and conquer approach

Quick Sort: Efficient partitioning method

Week 2 – Linear Logic Strings, Recursion, Sliding Window patterns and two-pointer techniques

String Manipulation

Learn the two-pointer technique for efficient string processing and pattern matching

Sliding Window

Master this powerful pattern for solving substring and subarray problems optimally

Recursion & Backtracking

Think top-down with recursive solutions and tackle complex problems like N- Queens

Week 3 – Advanced Structures Linked Lists, Stacks, Queues and their practical applications

Linked Lists Mastery

Deep dive into singly and doubly linked lists with pointer manipulation techniques

Cycle Detection

Floyds Algorithm for detecting cycles and advanced list reversal strategies

Stack Implementation

LIFO principles with real-world applications like expression evaluation and parsing

Queue Operations

FIFO structures including deque operations for flexible data management

Week 4 – Non-Linear Logic Trees, Heaps, Hashing and hierarchical data management

Binary Trees & BST

Inorder, Preorder, and Postorder traversals

Binary Search Tree operations and balancing

Tree height, depth, and diameter calculations

Level-order traversal techniques

Hashing & Heaps

HashMap and HashSet for 0(1) search operations

Collision resolution strategies

Min and Max Heaps implementation

Priority Queue applications in scheduling

Week 5 – Optimization Dynamic Programming and comprehensive final interview preparation

DP Foundations

Understanding memoization vs. tabulation approaches and when to use each strategy

Classical Problems

Fibonacci sequences, 0/1 Knapsack, Longest Common Subsequence, and matrix chain multiplication

Full Revision

Comprehensive review of all core concepts from Weeks 1-4 with focus on weak areas

Final Assessment

Full-length mock technical interview simulating real company hiring processes

Your Instructors

mojeshbondu1@gmail.com

This course includes:

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Week 1 – Fundamentals
Arrays, Searching, Sorting algorithms and complexity analysis

Week 2 – Linear Logic
Strings, Recursion, Sliding Window patterns and two-pointer techniques

Week 3 – Advanced Structures
Linked Lists, Stacks, Queues and their practical applications

Week 4 – Non-Linear Logic
Trees, Heaps, Hashing and hierarchical data management

Week 5 – Optimization
Dynamic Programming and comprehensive final interview preparation