A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this online course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures.
This course is part of the Data Structures and Algorithms Specialization
About this Course
Skills you will gain
- Binary Search Tree
- Priority Queue
- Hash Table
- Stack (Abstract Data Type)
Syllabus - What you will learn from this course
Basic Data Structures
Dynamic Arrays and Amortized Analysis
Priority Queues and Disjoint Sets
- 5 stars73.27%
- 4 stars21.04%
- 3 stars3.62%
- 2 stars0.69%
- 1 star1.35%
TOP REVIEWS FROM DATA STRUCTURES
Good content and assignments, but the explanations could have been clearer, especially for the BST and Splay Tree section. Also, I think it makes little sense to hide the tests.
Overall, it's good. But some chapters like the binary search tree and hash table, the instructions are now very heuristic. I can only understand the content after reading the textbook.
I found the course a little tough, but it's worth the effort. It takes more time than mentioned. Apart from that, it is actually good and covers most of the topics required for interviews.
The best data structures course that I have taken!
The complex topics are made simpler at the expense of teaching style that allowed me to make it applicable in a real world situations.
About the Data Structures and Algorithms Specialization
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