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Master Data Structures in
30 Days
Build a solid foundation in Data Structures through an intensive, hands-on training program. Learn to solve complex programming challenges and prepare for coding interviews effectively.
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Duration
30
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Interactive Learning
Daily
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Assignments
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Duration
30 Days
Mode
Online & Offline
Support
Lifetime
Placement
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Guidance
Trusted by Industry Leaders
Our Data Structures course has empowered students to secure roles at top companies like TCS, Infosys, and Accenture.
Why Choose Code Purple Academy?
Industry-Relevant Curriculum: Focus on key concepts required for programming and interview preparation.
Expert Instructors: Learn from experienced developers who have mastered Data Structures.
Hands-on Learning: Solve real-world problems using practical examples.
Career Guidance: Learn techniques to ace technical interviews and coding challenges.
Sign on our portal and take the first step toward building your future with us!
What You'll Learn
This course covers all essential concepts of Data Structures
Arrays
String
Linked Lists
Stacks
Graph Algorithms
Trees
Dynamic Programming
Recursion
Detailed Syllabus
Modern syllabus with practical learning and interview preparation to make you job-ready.
Week 1: Introduction to Data Structures
- Day 1 : Introduction to Arrays and Operations (Insertion, Deletion, Traversal)
- Day 2 : 2D Arrays and Matrix Manipulations
- Day 3 : Strings: Pattern Matching Algorithms (KMP, Rabin-Karp)
- Day 4 : Strings: Palindromes, Substrings, and Anagrams
- Day 5 : Basics of Time and Space Complexity
Week 2: Linear Data Structures
- Day 6 : Linked Lists: Singly Linked List Operations
- Day 7 : Linked Lists: Doubly and Circular Linked Lists
- Day 8 : Stacks: Implementation and Applications (Balanced Parentheses, Infix to Postfix)
- Day 9 : Queues: Circular Queue and Priority Queue
- Day 10 : Deques and Applications
Week 3: Trees and Graphs
- Day 11 : Trees: Binary Tree Traversals (Inorder, Preorder, Postorder)
- Day 12 : Binary Search Tree (BST): Construction and Operations
- Day 13 : Advanced Trees: AVL Trees and B-Trees
- Day 14 : Graphs: Representation (Adjacency List, Adjacency Matrix)
- Day 15 : Graph Traversals: BFS and DFS
Week 4: Advanced Topics
- Day 16 : Shortest Path Algorithms: Dijkstra and Bellman-Ford
- Day 17 : Minimum Spanning Tree: Kruskal’s and Prim’s Algorithms
- Day 18 : Dynamic Programming: Fibonacci, Knapsack Problems
- Day 19 : Recursion Techniques: Backtracking and Divide & Conquer
- Day 20 : Hashing: Hash Tables and Collision Resolution Techniques
Course Highlights
- Tools Covered : Programming in C/C++, Python, or Java for implementing Data Structures.
- Interactive Learning : Daily coding sessions with real-world problem-solving.
- Assignments : Weekly assignments to test understanding.
Key Features
- Comprehensive Syllabus Covering All Aspects of Data Structures
- Hands-on Practice on Real-World Problems
- Guidance for Coding Interviews and Competitive Programming
Discover What Makes Us Unique
Key Features That Set Us Apart from the Rest
Hands-On Practice
Project-Based Learning
Real-World Case Studies
