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).
This course is part of the Algorithms Specialization
Offered By
About this Course
Skills you will gain
- Graphs
- Data Structure
- Algorithms
- Hash Table
Offered by
Syllabus - What you will learn from this course
Week 1
Week 2
Week 3
Week 4
Reviews
- 5 stars86.14%
- 4 stars11.52%
- 3 stars1.71%
- 2 stars0.25%
- 1 star0.36%
TOP REVIEWS FROM GRAPH SEARCH, SHORTEST PATHS, AND DATA STRUCTURES
Learning algorithms is a must for all computer scientists. This course propels you on the path and kindles the spirit of inquiry and knack for finding better solutions.
assignments didn't seem as interesting or complex as class 1, besides week 1 of class 2. Lecture material was high quality however, and the advanced optional material is appreciated
Tim really did an awesome job preparing the lectures for this course. Material was presented quickly, efficiently, and engagingly. I highly recommend this class.
The best algorithms course available. More on the theoretical side which in my opinion is more important, if theory is understood, implementation becomes second nature.
About the Algorithms Specialization

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