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Computer Scientist Course

Computer Scientist Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course provides a thorough, practical guide to mastering graph distance queries and k-closest searches on large networks. Learners will cover problem definitions, exact BFS methods, approximate techniques using embeddings, sketches, and PageRank, along with complexity analysis, scalability issues, and experimental design. By the end, participants will confidently select, implement, and assess efficient solutions.

Elevify advantages

Develop skills

  • Design graph distance metrics: model, compare, and choose for k-closest queries.
  • Implement exact BFS searches: build scalable k-closest algorithms efficiently.
  • Create approximate indexes: develop sketches, embeddings, and APPR for quick searches.
  • Conduct large-graph experiments: plan, execute, and analyse performance tests.
  • Optimise graph systems: adjust memory, parallelism, and layouts for big data.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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