[100% Off] Data Structures And Algorithms: Complete Developer’s Guide

Learn Core Data Structures, Algorithms, and Problem Solving Techniques With Hands-On Examples

Added on October 26, 2026 Development 2 min read

What you’ll learn

• What Are Data Structures and Algorithms?
• Time and Space Complexity
• Recursion Basics
• Static vs Dynamic Arrays
• Common Array Operations
• String Handling Techniques
• Singly and Doubly Linked Lists
• Insertion, Deletion, Traversal
• Detecting Cycles
• Deque and Priority Queue
• Recursion Deep Dive
• Use Cases: Permutations, Subsets, N-Queens
• Binary Trees and Binary Search Trees (BST)
• Tree Traversals: Lnorder, Preorder, Postorder
• Heaps: Min and Max Heaps
• Collision Resolution (Chaining, Open Addressing)
• Bubble, Selection, Insertion
• Merge Sort and Quick Sort
• Counting Sort, Radix Sort
• Binary Search and Variants
• Graph Representations: Adjacency List & Matrix
• Detecting Cycles, Connected Components
• Optimization Techniques

Requirements

• No prior experience required—learn DSA from scratch with clear explanations
• Basic programming knowledge is a plus point. (any language)

Description

Data Structures and Algorithms: Complete Developer’s Guide

Data Structures and Algorithms are the foundation of efficient software development and problem solving. This course is a complete, practical, and beginner to advanced guide designed to help you master DSA concepts and apply them confidently in real world programming and coding interviews.

Whether you’re a student, aspiring developer, or experienced engineer looking to strengthen your fundamentals, this course will give you a clear, structured, and hands-on understanding of data structures and algorithms.

What You’ll Learn

• Core data structures: Arrays, Strings, Linked Lists, Stacks, Queues, Hash Tables, Trees, Heaps, and Graphs

• Essential algorithms: Searching, Sorting, Recursion, Backtracking, Greedy Algorithms, and Dynamic Programming

• Time and space complexity analysis (Big O notation)

• How to choose the right data structure and algorithm for a problem

• Problem solving techniques used by professional developers

• Implementations with clean, readable code and step by step explanations

Why Take This Course?

• Beginner friendly explanations with a strong focus on fundamentals

• Practical coding examples to reinforce every concept

• Interview focused problem solving techniques

• Clear progression from basic concepts to advanced algorithms

• Designed to help you think like a developer, not just memorize solutions

By the end of this course, you’ll be able to solve complex problems efficiently, write optimized code, and approach technical interviews with confidence.

Author(s): Muhammad Riaz Uddin