The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.
This course is part of the Accelerated Computer Science Fundamentals Specialization
About this Course
Syllabus - What you will learn from this course
Graph Data Structures
- 5 stars80.19%
- 4 stars14.23%
- 3 stars4.03%
- 2 stars0.57%
- 1 star0.96%
TOP REVIEWS FROM UNORDERED DATA STRUCTURES
excelente curso! muy buena explicacion de estructuras de datos. Todo el contenido fue explicado de manera muy interesante!
Overall, great course. Slightly obscure challenges sometimes, but homeworks were awesome because of how well commented all the provided code was.
Instructor and videos were also amazing!
Overall very good course. It is VERY time consuming if don't have background in CS. Each programming projects can easily take 35-40 hours to complete.
I wish the course was more detailed. Some PDFs to explain the concept more. Other than that I am happy with the content.
About the Accelerated Computer Science Fundamentals Specialization
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