Master Data Structures with C & Python – Enrollment Open!
Unlock the power of efficient programming by mastering linear and non-linear data structures using real-world examples. By the end of this course, you will be able to implement arrays, linked lists, stacks, queues, trees, graphs, and more in C and Python, write clean, optimized code, and solve complex problems like a pro.
???? What You’ll Learn:
- Core concepts of linear and non-linear data structures
- Real-world applications: student marks, temperature tracking, product lists, and more
- Side-by-side implementations in C and Python
- Hands-on practice with menu-driven programs
- Identify and fix common coding mistakes and improve code quality
- Boost problem-solving skills for exams, interviews, and projects
???? Join the batch of this intensive training program! Limited seats available. ????
Course Details:
- Seats: 20
- Registration Deadline: Wednesday, Oct 29, 2025
- Program Starts: Friday, Nov 03, 2025
- Regular Fee:
10,000 BDT - Special Offer Fee: 8000 BDT
- Schedule: Saturday, Monday and Thursday, 7:00 PM – 9:00 PM
- Duration: 2 months
- Mode: Live online sessions via Google Meet
- Resources: Session recordings and study materials provided
- Prerequisite: Basic knowledge of any programming language
???? Don’t miss this chance to elevate your programming skills and problem-solving abilities. Enroll Today!
This is a comprehensive course outline for a full-length Data Structures course suitable for university-level delivery. It covers both linear and non-linear data structures, including foundational theory, implementation (C/Python), complexity analysis, and real-world applications.
Module 0: Course Introduction & Setup
- What are Data Structures & Why Are They Important?
- Time and Space Complexity Recap (Big-O, Ω, Θ)
- Static vs Dynamic Data Structures
- Abstract Data Types (ADT)
- Development Environment Setup (C /Python)
Module 1: Linear Data Structures
1.1 Arrays
- Static vs Dynamic Arrays
- Multi-dimensional Arrays
- Array Operations: Insertion, Deletion, Searching
- Applications (Prefix Sum, Sliding Window, etc.)
1.2 Strings
- String Manipulations
- Pattern Matching Algorithms (Naive, KMP, Rabin-Karp, etc.)
1.3 Linked Lists
- Singly Linked List
- Doubly Linked List
- Circular Linked List
- Skip Lists (Optional Advanced)
- Applications (Hashing, Memory Management)
1.4 Stacks
- Stack ADT
- Stack Implementation (Array / Linked List)
- Applications: Expression Evaluation, Recursion
1.5 Queues
- Linear Queue
- Circular Queue
- Double Ended Queue (Deque)
- Priority Queue
Module 2: Non-Linear Data Structures
2.1 Trees
- Binary Trees (BT) – Traversals (Inorder, Preorder, Postorder, Level Order)
- Binary Search Trees (BST)
- AVL Trees (Rotations, Balancing)
- Red-Black Trees (Optional Advanced)
- B-Trees / B+ Trees (Used in Databases)
- Segment Trees & Fenwick Tree (Binary Indexed Tree)
2.2 Heaps
- Min Heap & Max Heap
- Heapify Algorithm
- Priority Queue using Heaps
- Heap Sort
2.3 Hashing
- Hash Functions
- Collision Handling (Chaining, Open Addressing)
- Dictionary / Map / Unordered Map Implementation
Module 3: Graph Data Structures
- Graph Representation (Adjacency List / Matrix)
- Directed vs Undirected Graph
- Weighted vs Unweighted Graph
- Traversal Algorithms:
- BFS (Breadth-First Search)
- DFS (Depth-First Search)
- Shortest Path Algorithms:
- Dijkstra’s Algorithm
- Bellman-Ford Algorithm
- Floyd-Warshall Algorithm
- Minimum Spanning Tree:
- Prim’s Algorithm
- Kruskal’s Algorithm
- Topological Sorting
- Disjoint Set (Union-Find)
Module 4: Advanced & Specialized Data Structures
- Tries (Prefix Tree)
- Suffix Tree / Suffix Array (Optional Advanced)
- LRU Cache (Using Linked List + HashMap)
- Bloom Filters (For Probabilistic Queries)
- K-D Trees & Quad Trees (For Spatial Data)
Module 5: Real-world Applications of Data Structures
- Compiler Parsing (Stack & Tree Usage)
- Social Network Friend Recommendation (Graph DS)
- Database Indexing (B-Trees & Hashing)
- Priority Schedulers (Heap)
- Autocomplete Search (Trie)
- File Systems (Tree + Hash)
Module 6: Final Project & Interview Preparation
- Implement a Mini Search Engine / Dictionary / File System
- 50+ Data Structure Interview Problems
- Complexity Tradeoff Analysis
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If you wish to do the course please make the payment to Bkash(Send Money): 01746539987
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Instructor: Sukanta Paul
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