Data Structures & Algorithms for Coding Interviews
Master arrays, linked lists, trees, graphs, sorting, dynamic programming and Big-O analysis to ace technical interviews.
About this course
Strong knowledge of data structures and algorithms is what separates programmers who can make code work from engineers who can make it fast, scalable and elegant. It is also the core of most technical interviews at software companies.
This course teaches each concept visually first, then in code, then through interview-style problems of increasing difficulty. You will learn the common problem-solving patterns — two pointers, sliding window, recursion, BFS/DFS and dynamic programming — that unlock hundreds of questions.
What you'll learn
- Analyse time and space complexity with Big-O notation
- Implement arrays, linked lists, stacks, queues and hash tables
- Work with trees, heaps and graphs
- Apply sorting and searching algorithms
- Solve problems with recursion and dynamic programming
- Recognise common interview patterns quickly
Syllabus
6 modules · 8 weeks · approx. 48 hours total
Module 1Complexity analysis
- Big-O, Big-Θ and Big-Ω
- Analysing loops and recursion
- Space complexity
Module 2Linear structures
- Arrays and strings
- Linked lists
- Stacks, queues and deques
Module 3Hashing
- Hash tables and sets
- Collision handling
- Pattern: frequency counting
Module 4Trees and heaps
- Binary trees and BSTs
- Tree traversals
- Heaps and priority queues
Module 5Graphs
- Graph representations
- BFS and DFS
- Shortest paths and topological sort
Module 6Algorithm design
- Sorting algorithms
- Binary search
- Greedy algorithms and dynamic programming
Requirements & who it's for
Prerequisites
- Comfortable programming in Python, Java, JavaScript or C++
Who this is for
- Developers preparing for interviews
- Computer science students
- Self-taught programmers filling CS gaps
Frequently asked questions
Which programming language is used?
Lessons use Python for readability, and every concept is language-agnostic so you can practise in your preferred language.
How many practice problems are included?
Each module includes guided problems plus a graded problem set, ranging from easy to interview-hard.
Read before you start
Best Programming Languages to Learn in 2026 (and Which to Pick First)
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How to Learn Python in 2026: A Step-by-Step Roadmap for Beginners
From installing Python to landing your first project: a realistic roadmap with timelines, project ideas and the tools professionals actually use.
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