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
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About this Course
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Try Coursera for BusinessSyllabus - What you will learn from this course
Orientation; Hashing
Disjoint Sets
Graph Data Structures
Graph Algorithms
Reviews
- 5 stars80.34%
- 4 stars14.12%
- 3 stars4%
- 2 stars0.57%
- 1 star0.95%
TOP REVIEWS FROM UNORDERED DATA STRUCTURES
An insanely good course in which the instructors and professors put in the maximum possible amount of work for the student's benefit and clarity. Learnt a ton!
Excellent Course really helpful and exercises enjoyable exercises!!!
Very good teacher!
5 star
(You need to know C++ in advance).
I wish the course was more detailed. Some PDFs to explain the concept more. Other than that I am happy with the content.
A lot of new concepts learned. However I would have like to do more programming, exploring more features of C++. Changing only one or two lines of an existing code does not help much in our learning.
About the Accelerated Computer Science Fundamentals Specialization
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