Discover and design new data structures that follow abstract rule-based systems by building out graphs, hash-maps, and heaps.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
These data structures use a layer of abstraction to make specific operations much more straightforward. They’re designed as solutions for problems that don’t require linear iteration, but have more nuanced requirements.
This course introduces the theory and implementation of abstract data structures. After this course, you’ll be ready to solve advanced algorithmic problems like path-finding and maintaining priority queues.
This course is a continuation of our Linear Data Structures syllabus, which introduces other data structures you might encounter. Since you’ll be implementing these data structures in Python, we recommend you take our Python curriculum to become familiar with the language.
This comprehensive Complex Data Structures curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Complex Data Structures course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
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Everything you need to know about this online course, from duration to certification
Course Instructor
Learn Graphs
Expert instructor with industry experience
Subject Category
Data Science, Machine Learning
Part of our Data Science, Machine Learning curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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