Beginner algorithm course
Master the core algorithms and data structures that power modern software development. This course takes you from defining what an algorithm is all the way to implementing sorting, searching, recursion, and graph traversals. You will analyse efficiency with Big-O notation and apply proven design strategies to solve complex problems with confidence.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
You will build a solid foundation in computational thinking, data structures, and algorithm design from the ground up. The course covers essential topics including arrays, linked lists, stacks, queues, and hash tables, along with sorting and searching algorithms analysed for time and space complexity. You will learn recursion, graph traversals like BFS and DFS, and powerful design strategies including dynamic programming and greedy algorithms. Practical techniques such as two-pointer, sliding window, and backtracking round out your problem-solving toolkit. By the end, you will write, test, debug, and document algorithmic solutions with the clarity and precision that technical roles demand.
Elevify advantages
Develop skills
- Algorithm Complexity Analysis: Classify and compare algorithms using Big-O notation confidently.
- Data Structure Selection: Choose the right structure to maximise algorithm efficiency and performance.
- Recursive Problem Solving: Write, trace, and optimise recursive solutions while avoiding common pitfalls.
- Algorithm Design Strategy: Apply greedy, divide-and-conquer, and dynamic programming paradigms to real problems.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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