Overview
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
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
No prior experience required—learn DSA from scratch with clear explanations, Basic programming knowledge is a plus point. (any language)
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.
Muhammad Riaz Uddin
Hi, I’m Muhammad Riaz Uddin
I have 6 years of experience working in Artificial Intelligence, Data Analysis, Web Development, and Web Design. Over the years, I’ve worked on real-world projects that blend problem-solving, creativity, and practical implementation.
My teaching style focuses on simplifying complex concepts and explaining them in a way that’s easy to understand, even for complete beginners. I believe the best way to learn is by doing, so my courses emphasize practical examples, step-by-step guidance, and real-world projects.
On Udemy, my goal is to help students build strong technical foundations, gain confidence in their skills, and apply what they learn to real scenarios—whether they’re just starting out or looking to level up their expertise.
Let’s learn, build, and grow together