Data Structures And Algorithms in Python Course
Master every major data structure and algorithm using Python, from arrays and linked lists to graphs and dynamic programming. You'll build each structure from scratch, analyze its complexity, and apply it to real-world problems. This course gives you the technical depth that top engineering roles demand.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
You will implement arrays, linked lists, stacks, queues, trees, heaps, hash tables, and graphs entirely in Python. You will analyze time and space complexity using Big-O notation and apply that knowledge to write efficient code. The course covers sorting algorithms, recursion, divide-and-conquer, greedy strategies, and dynamic programming. You will also study advanced structures like tries, segment trees, and union-find. Every concept is connected to practical applications in databases, networking, machine learning pipelines, and system design. By the end, you will have a repeatable problem-solving framework ready for technical interviews and production engineering work.
Elevify advantages
Develop skills
- Big-O Complexity Analysis: Derive time and space complexity for any algorithm or data structure.
- Graph Algorithm Implementation: Build BFS, DFS, Dijkstra's, and minimum spanning tree solutions.
- Hash Table Design: Implement collision resolution strategies for O(1) average-case lookup performance.
- Dynamic Programming Mastery: Identify overlapping subproblems and convert recursion into efficient DP solutions.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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