jcg
As practitioner of SNA, I am trying to bring many relevant topics under one umbrella in following topics so that it can be uses in advance machine learning areas.
1. The content (80% hands on and 20% theory) will prepare you to work independently on SNA projects
2. Learn – Basic, Intermediate and Advance concepts
3. Graph’s foundations (20 techniques)
4. Graph’s use cases (6 use cases)
5. Link Analysis (how Google search the best link/page for you)
6. Page Ranks
7. Hyperlink–Induced Topic Search (HITS; also known as hubs and authorities)
8. Node embedding
9. Recommendations using SNA (theory)
10. Management and monitoring of complex networks (theory)
11. How to use SNA for Data Analytics (theory)
Specification: Social Network Analysis(SNA) and Graph Analysis using Python
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5 reviews for Social Network Analysis(SNA) and Graph Analysis using Python
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| Price | $9.99 |
|---|---|
| Provider | |
| Duration | 4.5 hours |
| Year | 2022 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$9.99
White Cloud –
pros: new stuff ! + instructor responsive + most concepts with code cons: voice is not of high quality + problem with watching the video at speed
Shashi Kant Srivastava –
Great course!!!! Very handy for the people interested in Network Analysis and Graph Theory.
Shelly Gulati –
The course was good, the tutor could have been a person who could have organized his /her thoughts and completed every topic effectively instead of sporadically jumping from one topic to other without providing closure.
Christina Sanchita Shah –
very detailed and clear.
Sankhamita Sinha –
This course contained more hands on practices than theoretical which I expected.