The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).
About this Course
Skills you will gain
- 5 stars86.17%
- 4 stars11.48%
- 3 stars1.71%
- 2 stars0.25%
- 1 star0.36%
TOP REVIEWS FROM GRAPH SEARCH, SHORTEST PATHS, AND DATA STRUCTURES
There is very little hand-holding in this course and no code provided. This really challenges you to implement the ideas taught in the most efficient and appropriate manner possible.
The course was very interesting. As a person who struggles with problem-solving, I found this course very helpful because the professor's ideas are well explained. It makes me to learn more.
Focused on principles and motivations behind algorithms. You might forget an algorithm you learned, but you will definitely be able to come up with one quickly after this course.
Interesting problems and explanations. But mathematical analysis is going off of my mind. It has very good explanation. Not sure, whether I can carry forward that knowledge or not.
About the Algorithms Specialization
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