Data Structures and Algorithms in Python
This Python algorithms course from Educative provides comprehensive coverage of essential data structures and algorithms using Python programming. The 15-hour interactive programme focuses on practical implementation of key concepts including arrays, linked lists, stacks, queues, trees, graphs, and sorting algorithms. Students engage with real-world problem-solving scenarios and typical technical interview questions commonly asked at major technology companies. The browser-based learning environment requires no software installation, allowing immediate hands-on practice with coding exercises. With a 4.6 rating, this course emphasises Big O notation analysis, algorithmic complexity, and optimisation techniques essential for software engineering roles.
Course Snapshot
| Provider | Educative |
| Price | Subscription |
| Duration | 15 hours |
| Difficulty | Intermediate |
| Format | Interactive, browser-based (no setup needed) |
| Certificate | Yes, on completion |
| Last Verified | February 2026 |
What This Coding Interview Preparation Course Covers
The Python algorithms course covers fundamental data structures including arrays, linked lists, binary trees, heaps, hash tables, and graphs. Students learn essential algorithms such as binary search, depth-first search, breadth-first search, dynamic programming, and various sorting techniques including quicksort and mergesort. The curriculum includes advanced topics like tree traversals, graph algorithms, recursion patterns, and greedy algorithms with practical Python implementations.
Educative’s interactive learning platform provides hands-on coding exercises directly in the browser without requiring local development setup. Students work through progressively challenging problems with detailed explanations and step-by-step solutions. The course includes visual representations of data structures, algorithm animations, and real-time code execution to reinforce learning through practical application and immediate feedback.
Content is specifically designed for technical interview preparation at leading technology companies. Students gain practical experience solving coding challenges similar to those encountered in software engineering interviews, building confidence in algorithmic thinking and Python implementation skills valued across the technology industry. The curriculum draws on principles of data structure, applied to real-world scenarios.
Who Should Take This Coding Interview Preparation Course
About Educative
Educative is a browser-based learning platform specialising in software engineering and system design. Unlike video-based platforms, Educative uses interactive text-based lessons with embedded coding environments, so you can practise directly without setting up a local development environment.
Frequently Asked Questions
How long does Data Structures and Algorithms in Python take to complete?
The course requires approximately 15 hours of study time, which most students complete over 2-4 weeks depending on prior experience and study schedule.
Will this course help me pass FAANG technical interviews?
Yes, the course specifically covers data structures and algorithms commonly tested in technical interviews at major technology companies, with practical coding exercises.
What Python knowledge do I need before starting?
You should understand Python basics including variables, functions, loops, and object-oriented programming concepts before beginning this algorithms-focused course.
How does this compare to university computer science courses?
The course covers core algorithmic concepts similar to university curricula, aligning with standards promoted by organisations like BCS, The Chartered Institute for IT for professional development. For further reading, see BCS, The Chartered Institute for IT.
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