WHERE SKILLS LEAD

WHERE OUR STUDENTS LAND

We don't train you for just one job. We train you to think, build, and work the way modern tech teams do.

The Only Course You Need

CodePurple is the most complete, yet accessible program you can find.

You will start with the fundamentals, move on to advanced techniques, and build real experience through hands-on projects.

By the end, you'll have the skills to build and ship your own products.

Chapters

Lessons

Days

Curriculum

Syllabus Overview

Modern syllabus with practical learning and interview preparation to make you job-ready.

Chapter 01

Introduction to Data Structures

5 topics — Module 1

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

01Introduction to Arrays and Operations (Insertion, Deletion, Traversal)
022D Arrays and Matrix Manipulations
03Strings: Pattern Matching Algorithms (KMP, Rabin-Karp)
04Strings: Palindromes, Substrings, and Anagrams
05Basics of Time and Space Complexity

Chapter 02

Linear Data Structures

5 topics — Module 2

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

01Linked Lists: Singly Linked List Operations
02Linked Lists: Doubly and Circular Linked Lists
03Stacks: Implementation and Applications (Balanced Parentheses, Infix to Postf…
04Queues: Circular Queue and Priority Queue
05Deques and Applications

Chapter 03

Trees and Graphs

5 topics — Module 3

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

01Trees: Binary Tree Traversals (Inorder, Preorder, Postorder)
02Binary Search Tree (BST): Construction and Operations
03Advanced Trees: AVL Trees and B-Trees
04Graphs: Representation (Adjacency List, Adjacency Matrix)
05Graph Traversals: BFS and DFS

Chapter 04

Advanced Topics

5 topics — Module 4

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

01Shortest Path Algorithms: Dijkstra and Bellman-Ford
02Minimum Spanning Tree: Kruskal’s and Prim’s Algorithms
03Dynamic Programming: Fibonacci, Knapsack Problems
04Recursion Techniques: Backtracking and Divide & Conquer
05Hashing: Hash Tables and Collision Resolution Techniques

Chapter 05

Course Highlights

3 topics — Module 5

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.

01Tools Covered: Programming in C/C++, Python, or Java for implementing Data St…
02Interactive Learning: Daily coding sessions with real-world problem-solving
03Assignments: Weekly assignments to test understanding

Chapter 06

Key Features

3 topics — Module 6

Comprehensive Syllabus Covering All Aspects of Data Structures. Hands-on Practice on Real-World Problems. Guidance for Coding Interviews and Competitive Programming.

01Comprehensive Syllabus Covering All Aspects of Data Structures
02Hands-on Practice on Real-World Problems
03Guidance for Coding Interviews and Competitive Programming

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Joining the Data Science course at Code Purple has been one of the best decisions I’ve made for my career. I came in with a lot of doubts, but the trainers here made everything feel possible. Their patience, clarity, and genuine effort toward each student mean a lot. The atmosphere is positive, and working on real-time projects really opened my eyes to how the industry works. I’m truly happy with my progress and would recommend this academy to anyone who wants to grow in a supportive environment.