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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).
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Skills you'll gain
- Algorithms
- Data Structures
- Mathematics
- Theoretical Computer Science
- Computer Programming
- Graph Theory
- Problem Solving
- Critical Thinking
- Software Engineering
Programme 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.
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Graphic Design Data Science & Big Data View 38 other Short Courses in Graphic Design in United StatesWhat students do after studying
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Academic 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
- Some related experience required
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
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.
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