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Avis et commentaires pour d'étudiants pour Network Data Science with NetworkX and Python par Coursera Project Network

4.5
étoiles
61 évaluations
7 avis

À propos du cours

In this 1-hour long project-based course, you are going to be able to perform centrality network analysis and visualization on educational datasets, to generate different kinds of random graphs which represents social networks, and to manipulate the graph and subgraph structures, allowing you to break and get insights on complex structures. This guided project is for people who want to incorporate network data science skills into their technology portfolio. This is a topic of interest to researchers, marketers, consultants and practitioners associated with the knowledge areas of social science, marketing, social media, operational research and complexity science. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 7 sur 7 Avis pour Network Data Science with NetworkX and Python

par All 1 a 0

Oct 14, 2020

Great course for creating network using python

par rohithasree d

Sep 30, 2020

Good

par Khandaker M A

Aug 06, 2020

Please! PLease! Please! Change your accent and make your pronunciations clear. Could've rated 2 or 3 stars but didn't because the content of the guided project is good.

par Cesar H

Sep 09, 2020

The course is quick and good, very practical, maybe lacking a little bit of the theory and other practical examples of use. But overall very happy

par Поручиков М А

Sep 06, 2020

Perfect content but poor pronunciation. 4 stars.

par Alberto P S

Aug 03, 2020

The course content is interesting but the instructor is not using the whole screen, making it very difficult to read the notebook's code. The frequent spelling mistakes don't help either. The codes are useful but the presentation can improve a lot.

par Xuejiao W

Jul 26, 2020

The content is good, however the audience is quite poor. The caption is impossible to read.