Data Structures and Algorithms: Complete Developer’s Guide
Learn Core Data Structures, Algorithms, and Problem Solving Techniques With Hands-On Examples
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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.
Learning Objectives
🔹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
Prerequisites
🔹No prior experience required—learn DSA from scratch with clear explanations🔹Basic programming knowledge is a plus point. (any language)
Who This Course Is For
🔹Anyone preparing for coding interviews at top tech companies🔹Beginners who want to build a strong foundation in DSA
🔹Computer science students preparing for exams or interviews
🔹Software developers aiming to improve problem solving skills
Course Details
| Price | FREE |
| Views | 2 |
| Lectures | 41 |
| Duration | 6 hours |
| Last Update | 23-Feb-2026 |
| Release Date | 29-Jan-2026 |
| Category | Development |
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This course includes:
📹 Video lectures
📄 Downloadable resources
📱 Mobile & desktop access
🎓 Certificate of completion
♾️ Lifetime access
