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 stars73.28%
- 4 stars21.04%
- 3 stars3.61%
- 2 stars0.69%
- 1 star1.35%
TOP REVIEWS FROM DATA STRUCTURES
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 assignments were really challenging and fun to do. I hope there will be more courses like from you. I also like teaching style. There should be more number of questions in quiz.
Great course, tests you on a wide spectrum of difficulty. The assignments are crafted to help students learn gradually and build their confidence over Data Structure concepts efficiently.
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.
About the Data Structures and Algorithms Specialization
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