Overview
The primary topics in this part of the Graph Search, Shortest Paths, and Data Structures course offered by Coursera in partnership with Stanford 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).
Skills You Will Gain
- Graphs
- Data Structure
- Algorithms
- Hash Table
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Visit programme websiteProgramme Structure
Courses included:
- Week 1
Breadth-first and depth-first search; computing strong components; applications.
- Week 2
Dijkstra's shortest-path algorithm.
- Week 3
Heaps; balanced binary search trees.
- Week 4
Hashing; bloom filters.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Graphic Design Data Science & Big Data View 583 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate Level
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.