Data Structures in Python Course
What will I learn?
Master the fundamentals of data structures using Python with our in-depth course designed for tech professionals. Delve into lists, arrays, trees, and graphs, and learn how to optimise algorithms for efficiency. Explore heaps, priority queues, sets, and dictionaries, while sharpening your testing and debugging skills. This high-quality, practice-oriented course enables you to select the appropriate data structures and improve your coding capabilities, all at your convenience. Enroll now to boost your technical expertise.
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
Become proficient in Python lists and arrays for efficient data handling.
Implement and optimise trees and graphs for managing complex data.
Analyse time and space complexity for improved performance.
Debug and test Python code to build reliable applications.
Use heaps and priority queues for sophisticated data management.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your professional journey.